{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T17:37:47Z","timestamp":1744220267340,"version":"3.37.3"},"reference-count":82,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61906153","61906153","61906153"],"award-info":[{"award-number":["61906153","61906153","61906153"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"crossref","award":["No.2020JQ-651","No.2020JQ-651","No.2020JQ-651"],"award-info":[{"award-number":["No.2020JQ-651","No.2020JQ-651","No.2020JQ-651"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s11760-024-03466-w","type":"journal-article","created":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T12:03:07Z","timestamp":1722945787000},"page":"8229-8239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Striver: an image descriptor for fingerprint liveness detection"],"prefix":"10.1007","volume":"18","author":[{"given":"Jing","family":"Li","sequence":"first","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Erhu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,6]]},"reference":[{"issue":"4","key":"3466_CR1","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TBCAS.2008.2003432","volume":"2","author":"PV Reddy","year":"2008","unstructured":"Reddy, P.V., Kumar, A., Rahman, S.M.K., Mundra, T.S.: A new antispoofing approach for biometric devices. IEEE Trans. Biomed. Circuits Syst. 2(4), 328\u2013337 (2008)","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"issue":"8","key":"3466_CR2","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1016\/j.patcog.2010.02.016","volume":"43","author":"Q Zhao","year":"2010","unstructured":"Zhao, Q., Zhang, D., Zhang, L., Luo, N.: Adaptive fingerprint pore modeling and extraction. Pattern Recognit. 43(8), 2833\u20132844 (2010)","journal-title":"Pattern Recognit."},{"issue":"8","key":"3466_CR3","doi-asserted-by":"crossref","first-page":"2845","DOI":"10.1016\/j.patcog.2010.01.023","volume":"43","author":"B Tan","year":"2010","unstructured":"Tan, B., Schuckers, S.: Spoofing protection for fingerprint scanner by fusing ridge signal and valley noise. Pattern Recognit. 43(8), 2845\u20132857 (2010)","journal-title":"Pattern Recognit."},{"key":"3466_CR4","doi-asserted-by":"crossref","unstructured":"Chang, S., Larin, K., Mao, Y., Almuhtadi, W., Flueraru, C.: Fingerprint spoof detection by near infrared optical analysis. (InTech) (2011)","DOI":"10.5772\/19453"},{"issue":"4","key":"3466_CR5","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1049\/iet-bmt.2013.0020","volume":"3","author":"C Sousedik","year":"2014","unstructured":"Sousedik, C., Busch, C.: Presentation attack detection methods for fingerprint recognition systems: a survey. IET Biometrics 3(4), 219\u2013233 (2014)","journal-title":"IET Biometrics"},{"key":"3466_CR6","doi-asserted-by":"crossref","unstructured":"Chugh, T., Jain, A.K.: Fingerprint presentation attack detection: generalization and efficiency. In: International Conference on Biometrics (2019)","DOI":"10.1109\/ICB45273.2019.8987374"},{"issue":"18","key":"3466_CR7","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1049\/el.2010.1549","volume":"46","author":"N Manivanan","year":"2010","unstructured":"Manivanan, N., Memon, S., Balachandran, W.: Automatic detection of active sweat pores of fingerprint using highpass and correlation filtering. Electron. Lett. 46(18), 1268 (2010)","journal-title":"Electron. Lett."},{"key":"3466_CR8","doi-asserted-by":"crossref","unstructured":"Espinoza, M., Champod, C.: Using the number of pores on fingerprint images to detect spoofing attacks. In: International Conference on Hand-Based Biometrics, pp. 1\u20135 (2011)","DOI":"10.1109\/ICHB.2011.6094347"},{"key":"3466_CR9","doi-asserted-by":"crossref","unstructured":"Lu, M., Chen, Z., Sheng, W.: Fingerprint liveness detection based on pore analysis. In: Chinese Conference on Biometric Recognition, pp. 233\u2013240 (2015)","DOI":"10.1007\/978-3-319-25417-3_28"},{"issue":"3","key":"3466_CR10","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1109\/TIFS.2006.879289","volume":"1","author":"A Antonelli","year":"2006","unstructured":"Antonelli, A., Cappelli, R., Maio, D., Maltoni, D.: Fake finger detection by skin distortion analysis. IEEE Trans. Inf. Forensics Secur. 1(3), 360\u2013373 (2006)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"3466_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tian, J., Chen, X., Yang, X., Shi, P.: Fake finger detection based on thin-plate spline distortion model. In: International Conference on Biometrics, pp. 742\u2013749 (2007)","DOI":"10.1007\/978-3-540-74549-5_78"},{"key":"3466_CR12","doi-asserted-by":"crossref","unstructured":"Jia, J., Cai, L., Zhang, K., Chen, D.: A new approach to fake finger detection based on skin elasticity analysis. In: International Conference on Biometrics, pp. 309\u2013318 (2007)","DOI":"10.1007\/978-3-540-74549-5_33"},{"issue":"3","key":"3466_CR13","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.patcog.2008.06.012","volume":"42","author":"A Abhyankar","year":"2009","unstructured":"Abhyankar, A., Schuckers, S.: Integrating a wavelet based perspiration liveness check with fingerprint recognition. Pattern Recognit. 42(3), 452\u2013464 (2009)","journal-title":"Pattern Recognit."},{"issue":"1","key":"3466_CR14","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.future.2010.11.024","volume":"28","author":"J Galbally","year":"2012","unstructured":"Galbally, J., Alonso-Fernandez, F., Fierrez, J., Ortega-Garcia, J.: A high performance fingerprint liveness detection method based on quality related features. Future Gener. Comput. Syst. 28(1), 311\u2013321 (2012)","journal-title":"Future Gener. Comput. Syst."},{"issue":"13","key":"3466_CR15","doi-asserted-by":"crossref","first-page":"4175","DOI":"10.1007\/s00500-017-2707-3","volume":"22","author":"Y Park","year":"2017","unstructured":"Park, Y., Jang, U., Lee, E.C.: Statistical anti-spoofing method for fingerprint recognition. Soft. Comput. 22(13), 4175\u20134184 (2017)","journal-title":"Soft. Comput."},{"issue":"10","key":"3466_CR16","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1007\/s00371-018-01618-x","volume":"35","author":"RP Sharma","year":"2018","unstructured":"Sharma, R.P., Dey, S.: Fingerprint liveness detection using local quality features. Vis. Comput. 35(10), 1393\u20131410 (2018)","journal-title":"Vis. Comput."},{"issue":"13","key":"3466_CR17","doi-asserted-by":"crossref","first-page":"5157","DOI":"10.1007\/s00500-018-3182-1","volume":"23","author":"C Yuan","year":"2018","unstructured":"Yuan, C., Sun, X., Wu, Q.M.J.: Difference co-occurrence matrix using bp neural network for fingerprint liveness detection. Soft. Comput. 23(13), 5157\u20135169 (2018)","journal-title":"Soft. Comput."},{"issue":"20","key":"3466_CR18","doi-asserted-by":"crossref","first-page":"1112","DOI":"10.1049\/el:20052577","volume":"41","author":"YS Moon","year":"2005","unstructured":"Moon, Y.S., Chen, J.S., Chan, K.C., So, K., Woo, K.C.: Wavelet based fingerprint liveness detection. Electron. Lett. 41(20), 1112 (2005)","journal-title":"Electron. Lett."},{"key":"3466_CR19","doi-asserted-by":"crossref","unstructured":"Abhyankar, A., Schuckers, S.: Fingerprint liveness detection using local ridge frequencies and multiresolution texture analysis techniques. In: IEEE International Conference on Image Processing, pp. 321\u2013324 (2006)","DOI":"10.1109\/ICIP.2006.313158"},{"issue":"10\u201312","key":"3466_CR20","doi-asserted-by":"crossref","first-page":"2491","DOI":"10.1016\/j.neucom.2008.11.003","volume":"72","author":"SB Nikam","year":"2009","unstructured":"Nikam, S.B., Agarwal, S.: Ridgelet-based fake fingerprint detection. Neurocomputing 72(10\u201312), 2491\u20132506 (2009)","journal-title":"Neurocomputing"},{"issue":"1","key":"3466_CR21","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s11760-008-0098-8","volume":"4","author":"SB Nikam","year":"2009","unstructured":"Nikam, S.B., Agarwal, S.: Curvelet-based fingerprint anti-spoofing. SIViP 4(1), 75\u201387 (2009)","journal-title":"SIViP"},{"key":"3466_CR22","unstructured":"Ghiani, L., Marcialis, G.L., Roli, F.: Fingerprint liveness detection by local phase quantization. In: International Conference on Pattern Recognition, pp. 537\u2013540 (2012)"},{"issue":"4","key":"3466_CR23","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1049\/el.2012.4173","volume":"49","author":"LFA Pereira","year":"2013","unstructured":"Pereira, L.F.A., Pinheiro, H.N.B., Cavalcanti, G.D.C., Ren, T.I.: Spatial surface coarseness analysis: technique for fingerprint spoof detection. Electron. Lett. 49(4), 260\u2013261 (2013)","journal-title":"Electron. Lett."},{"key":"3466_CR24","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ins.2013.06.041","volume":"268","author":"X Jia","year":"2014","unstructured":"Jia, X., Yang, X., Cao, K., Zang, Y., Zhang, N., Dai, R., et al.: Multi-scale local binary pattern with filters for spoof fingerprint detection. Inf. Sci. 268, 91\u2013102 (2014)","journal-title":"Inf. Sci."},{"key":"3466_CR25","doi-asserted-by":"crossref","unstructured":"Gottschlich, C., Marasco, E., Yang, A.Y., Cukic, B. Fingerprint liveness detection based on histograms of invariant gradients. In: IEEE International Joint Conference on Biometrics, pp. 1\u20137 (2014)","DOI":"10.1109\/BTAS.2014.6996224"},{"key":"3466_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Fang, S., Xie, Y., Xu, T.: Fake fingerprint detection based on wavelet analysis and local binary pattern. In: Chinese Conference on Biometric Recognition, pp. 191\u2013198 (2014)","DOI":"10.1007\/978-3-319-12484-1_21"},{"issue":"6","key":"3466_CR27","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1049\/el.2013.4044","volume":"50","author":"D Gragnaniello","year":"2014","unstructured":"Gragnaniello, D., Poggi, G., Sansone, C., Verdoliva, L.: Wavelet-Markov local descriptor for detecting fake fingerprints. Electron. Lett. 50(6), 439\u2013441 (2014)","journal-title":"Electron. Lett."},{"key":"3466_CR28","doi-asserted-by":"crossref","unstructured":"Rattani, A., Ross, A.: Minimizing the impact of spoof fabrication material on fingerprint liveness detector. In: IEEE International Conference on Image Processing (2014)","DOI":"10.1109\/ICIP.2014.7026011"},{"key":"3466_CR29","doi-asserted-by":"crossref","unstructured":"Rattani, A., Ross, A.: Automatic adaptation of fingerprint liveness detector to new spoof materials. In: IEEE International Joint Conference on Biometrics (2014)","DOI":"10.1109\/BTAS.2014.6996254"},{"issue":"4","key":"3466_CR30","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1016\/j.patcog.2014.05.021","volume":"48","author":"D Gragnaniello","year":"2015","unstructured":"Gragnaniello, D., Poggi, G., Sansone, C., Verdoliva, L.: Local contrast phase descriptor for fingerprint liveness detection. Pattern Recognit. 48(4), 1050\u20131058 (2015)","journal-title":"Pattern Recognit."},{"issue":"7","key":"3466_CR31","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1109\/TIFS.2016.2535899","volume":"11","author":"RK Dubey","year":"2016","unstructured":"Dubey, R.K., Goh, J., Thing, V.L.L.: Fingerprint liveness detection from single image using low-level features and shape analysis. IEEE Trans. Inf. Forensics Secur. 11(7), 1461\u20131475 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"2","key":"3466_CR32","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s11760-016-0936-z","volume":"11","author":"Z Xia","year":"2016","unstructured":"Xia, Z., Lv, R., Zhu, Y., Ji, P., Sun, H., Shi, Y.Q.: Fingerprint liveness detection using gradient-based texture features. SIViP 11(2), 381\u2013388 (2016)","journal-title":"SIViP"},{"issue":"14","key":"3466_CR33","doi-asserted-by":"crossref","first-page":"18187","DOI":"10.1007\/s11042-017-5517-9","volume":"77","author":"Z Xia","year":"2017","unstructured":"Xia, Z., Lv, R., Sun, X.: Rotation-invariant weber pattern and Gabor feature for fingerprint liveness detection. Multimed. Tools Appl. 77(14), 18187\u201318200 (2017)","journal-title":"Multimed. Tools Appl."},{"issue":"1","key":"3466_CR34","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/LSP.2016.2636158","volume":"24","author":"W Kim","year":"2017","unstructured":"Kim, W.: Fingerprint liveness detection using local coherence patterns. IEEE Signal Process. Lett. 24(1), 51\u201355 (2017)","journal-title":"IEEE Signal Process. Lett."},{"issue":"3","key":"3466_CR35","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1049\/iet-bmt.2016.0007","volume":"6","author":"L Ghiani","year":"2017","unstructured":"Ghiani, L., Hadid, A., Marcialis, G.L., Roli, F.: Fingerprint liveness detection using local texture features. IET Biometrics 6(3), 224\u2013231 (2017)","journal-title":"IET Biometrics"},{"issue":"13","key":"3466_CR36","doi-asserted-by":"crossref","first-page":"5157","DOI":"10.1007\/s00500-018-3182-1","volume":"23","author":"C Yuan","year":"2018","unstructured":"Yuan, C., Sun, X., Wu, Q.M.J.: Difference co-occurrence matrix using BP neural network for fingerprint liveness detection. Soft. Comput. 23(13), 5157\u20135169 (2018)","journal-title":"Soft. Comput."},{"issue":"5","key":"3466_CR37","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.27.5.053038","volume":"27","author":"R Mehboob","year":"2018","unstructured":"Mehboob, R., Dawood, H., Dawood, H., Ilyas, M.U., Guo, P., Banjar, A.: Live fingerprint detection using magnitude of perceived spatial stimuli and local phase information. J. Electron. Imaging 27(5), 053038 (2018)","journal-title":"J. Electron. Imaging"},{"issue":"13","key":"3466_CR38","doi-asserted-by":"crossref","first-page":"4175","DOI":"10.1007\/s00500-017-2707-3","volume":"22","author":"Y Park","year":"2018","unstructured":"Park, Y., Jang, U., Lee, E.C.: Statistical anti-spoofing method for fingerprint recognition. Soft. Comput. 22(13), 4175\u20134184 (2018)","journal-title":"Soft. Comput."},{"key":"3466_CR39","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2020.102039","volume":"61","author":"AA Alshdadi","year":"2020","unstructured":"Alshdadi, A.A., Mehboob, R., Dawood, H., Alassafi, M.O., Alghamdi, R., Dawood, H.: Exploiting level 1 and level 3 features of fingerprints for liveness detection. Biomed. Signal Process. Control 61, 102039 (2020)","journal-title":"Biomed. Signal Process. Control"},{"key":"3466_CR40","doi-asserted-by":"crossref","first-page":"5806","DOI":"10.1109\/ACCESS.2020.3048756","volume":"9","author":"LJ Gonzalez-Soler","year":"2021","unstructured":"Gonzalez-Soler, L.J., Gomez-Barrero, M., Chang, L., Perez-Suarez, A., Busch, C.: Fingerprint presentation attack detection based on local features encoding for unknown attacks. IEEE Access 9, 5806\u20135820 (2021)","journal-title":"IEEE Access"},{"issue":"8","key":"3466_CR41","doi-asserted-by":"crossref","first-page":"2999","DOI":"10.1007\/s00371-021-02173-8","volume":"38","author":"D Sharma","year":"2021","unstructured":"Sharma, D., Selwal, A.: Hyfipad: a hybrid approach for fingerprint presentation attack detection using local and adaptive image features. Vis. Comput. 38(8), 2999\u20133025 (2021)","journal-title":"Vis. Comput."},{"issue":"16","key":"3466_CR42","doi-asserted-by":"crossref","first-page":"22129","DOI":"10.1007\/s11042-021-11254-8","volume":"81","author":"D Sharma","year":"2021","unstructured":"Sharma, D., Selwal, A.: An intelligent approach for fingerprint presentation attack detection using ensemble learning with improved local image features. Multimed. Tools Appl. 81(16), 22129\u201322161 (2021)","journal-title":"Multimed. Tools Appl."},{"issue":"7","key":"3466_CR43","first-page":"4089","volume":"34","author":"D Agarwal","year":"2022","unstructured":"Agarwal, D., Bansal, A.: Fingerprint liveness detection through fusion of pores perspiration and texture features. J. King Saud Univ. Comput. Inf. Sci. 34(7), 4089\u20134098 (2022)","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"3466_CR44","doi-asserted-by":"crossref","first-page":"103572","DOI":"10.1016\/j.bspc.2022.103572","volume":"75","author":"R Mehboob","year":"2022","unstructured":"Mehboob, R., Dawood, H.: DEHFF? A hybrid approach based on distinctively encoded fingerprint features for live fingerprint detection. Biomed. Signal Process. Control 75, 103572 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"3466_CR45","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1109\/LSP.2023.3293471","volume":"30","author":"C Yuan","year":"2023","unstructured":"Yuan, C., Guo, Q., Zhou, Z., Fu, Z., Xia, Z.: Deepfake fingerprint detection model intellectual property protection via ridge texture enhancement. IEEE Signal Process. Lett. 30, 843\u2013847 (2023)","journal-title":"IEEE Signal Process. Lett."},{"issue":"4","key":"3466_CR46","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1109\/TIFS.2015.2398817","volume":"10","author":"D Menotti","year":"2015","unstructured":"Menotti, D., Chiachia, G., Pinto, A., Schwartz, W.R., Pedrini, H., Falcao, A.X., et al.: Deep representations for iris, face, and fingerprint spoofing detection. IEEE Trans. Inf. Forensics Secur. 10(4), 864\u2013879 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"3466_CR47","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.patrec.2016.03.015","volume":"77","author":"S Kim","year":"2016","unstructured":"Kim, S., Park, B., Song, B.S., Yang, S.: Deep belief network based statistical feature learning for fingerprint liveness detection. Pattern Recognit. Lett. 77, 58\u201365 (2016)","journal-title":"Pattern Recognit. Lett."},{"key":"3466_CR48","doi-asserted-by":"crossref","first-page":"183391","DOI":"10.1109\/ACCESS.2020.3027846","volume":"8","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Gao, C., Pan, S., Li, Z., Xu, Y., Qiu, H.: A score-level fusion of fingerprint matching with fingerprint liveness detection. IEEE Access 8, 183391\u2013183400 (2020)","journal-title":"IEEE Access"},{"issue":"2","key":"3466_CR49","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1109\/TCDS.2021.3062624","volume":"14","author":"C Yuan","year":"2022","unstructured":"Yuan, C., Jiao, S., Sun, X., Wu, Q.M.J.: Mfffld: a multimodal-feature-fusion-based fingerprint liveness detection. IEEE Trans. Cogn. Dev. Syst 14(2), 648\u2013661 (2022)","journal-title":"IEEE Trans. Cogn. Dev. Syst"},{"issue":"8","key":"3466_CR50","doi-asserted-by":"crossref","first-page":"158","DOI":"10.3390\/jimaging9080158","volume":"9","author":"D Kothadiya","year":"2023","unstructured":"Kothadiya, D., Bhatt, C., Soni, D., Gadhe, K., Patel, S., Bruno, A., et al.: Enhancing fingerprint liveness detection accuracy using deep learning: a comprehensive study and novel approach. J. Imaging 9(8), 158 (2023)","journal-title":"J. Imaging"},{"issue":"15","key":"3466_CR51","doi-asserted-by":"crossref","first-page":"6854","DOI":"10.3390\/s23156854","volume":"23","author":"K Zhang","year":"2023","unstructured":"Zhang, K., Huang, S., Liu, E., Zhao, H.: Lfldnet: Lightweight fingerprint liveness detection based on resnet and transformer. Sensors 23(15), 6854 (2023)","journal-title":"Sensors"},{"key":"3466_CR52","doi-asserted-by":"crossref","unstructured":"Bhat, G., Johnander, J., Danelljan, M., Khan, F.S., Felsberg, M.: Unveiling the power of deep tracking. In: European Conference on Computer Vision, pp. 493\u2013509 (2018)","DOI":"10.1007\/978-3-030-01216-8_30"},{"key":"3466_CR53","doi-asserted-by":"crossref","first-page":"4571","DOI":"10.1109\/TIP.2021.3070188","volume":"30","author":"IE Khadiri","year":"2021","unstructured":"Khadiri, I.E., Merabet, Y.E., Tarawneh, A.S., Ruichek, Y., Chetverikov, D., Touahni, R., et al.: Petersen graph multi-orientation based multi-scale ternary pattern (PGMO-MSTP): an efficient descriptor for texture and material recognition. IEEE Trans. Image Process. 30, 4571\u20134586 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"3466_CR54","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.ins.2020.10.065","volume":"549","author":"M Kas","year":"2021","unstructured":"Kas, M., Merabet, Y.E., Ruichek, Y., Messoussi, R.: New framework for person-independent facial expression recognition combining textural and shape analysis through new feature extraction approach. Inf. Sci. 549, 200\u2013220 (2021)","journal-title":"Inf. Sci."},{"key":"3466_CR55","doi-asserted-by":"crossref","unstructured":"Nogueira, R.F., de\u00a0Alencar-Lotufo, R., Machado, R.C.: Evaluating software-based fingerprint liveness detection using convolutional networks and local binary patterns. In: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pp. 22\u201329 (2014)","DOI":"10.1109\/BIOMS.2014.6951531"},{"key":"3466_CR56","doi-asserted-by":"crossref","unstructured":"Zhou, F., Feng, J.F., Shi, Q.Y.: Texture feature based on local Fourier transform. In: International Conference on Image Processing, vol.\u00a02. pp. 610\u2013613 (2001)","DOI":"10.1109\/ICIP.2001.958567"},{"key":"3466_CR57","doi-asserted-by":"crossref","unstructured":"Savvides, M., Kumar, B.V.K.V., Khosla, P.K.: Eigenphases vs eigenfaces. In: International Conference on Pattern Recognition, pp. 810\u2013813 (2004)","DOI":"10.1109\/ICPR.2004.1334652"},{"issue":"3","key":"3466_CR58","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.patcog.2003.09.020","volume":"38","author":"XY Jing","year":"2005","unstructured":"Jing, X.Y., Tang, Y.Y., Zhang, D.: A fourier\u2013LDA approach for image recognition. Pattern Recognit. 38(3), 453\u2013457 (2005)","journal-title":"Pattern Recognit."},{"key":"3466_CR59","doi-asserted-by":"crossref","unstructured":"Hwang, W., Park, G., Lee, J., Kee, S.C.: Multiple face model of hybrid fourier feature for large face image set. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.\u00a02. pp. 1574\u20131581 (2006)","DOI":"10.1109\/CVPR.2006.201"},{"issue":"3","key":"3466_CR60","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/01969720802714758","volume":"40","author":"SA Mahmoud","year":"2009","unstructured":"Mahmoud, S.A., Mahmoud, A.S.: Arabic character recognition using modified Fourier spectrum (mfs) vs. Fourier descriptors. Cybern. Syst. 40(3), 189\u2013210 (2009)","journal-title":"Cybern. Syst."},{"issue":"3","key":"3466_CR61","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s11760-009-0125-4","volume":"4","author":"AK Sao","year":"2009","unstructured":"Sao, A.K., Yegnanarayana, B.: On the use of phase of the Fourier transform for face recognition under variations in illumination. SIViP 4(3), 353\u2013358 (2009)","journal-title":"SIViP"},{"issue":"8","key":"3466_CR62","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1109\/TIP.2009.2021737","volume":"18","author":"Y Su","year":"2009","unstructured":"Su, Y., Shan, S., Chen, X., Gao, W.: Hierarchical ensemble of global and local classifiers for face recognition. IEEE Trans. Image Process. 18(8), 1885\u20131896 (2009)","journal-title":"IEEE Trans. Image Process."},{"key":"3466_CR63","doi-asserted-by":"crossref","unstructured":"Liao, S., Chung, A.C.S.: A new subspace learning method in Fourier domain for texture classification. In: IEEE International Conference on Image Processing, pp. 4589\u20134592 (2010)","DOI":"10.1109\/ICIP.2010.5652221"},{"issue":"3","key":"3466_CR64","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1007\/s11042-011-0766-5","volume":"59","author":"KM Saipullah","year":"2011","unstructured":"Saipullah, K.M., Kim, D.H.: A robust texture feature extraction using the localized angular phase. Multimed. Tools Appl. 59(3), 717\u2013747 (2011)","journal-title":"Multimed. Tools Appl."},{"issue":"11","key":"3466_CR65","doi-asserted-by":"crossref","first-page":"111704","DOI":"10.1117\/1.OE.51.11.111704","volume":"51","author":"KM Saipullah","year":"2012","unstructured":"Saipullah, K.M.: Target detection of hyperspectral images based on their Fourier spectral features. Opt. Eng. 51(11), 111704 (2012)","journal-title":"Opt. Eng."},{"issue":"5","key":"3466_CR66","doi-asserted-by":"crossref","first-page":"1164","DOI":"10.1109\/TPAMI.2012.199","volume":"35","author":"CH Chan","year":"2013","unstructured":"Chan, C.H., Tahir, M.A., Kittler, J., Pietikainen, M.: Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 35(5), 1164\u20131177 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"21","key":"3466_CR67","doi-asserted-by":"crossref","first-page":"8294","DOI":"10.1016\/j.eswa.2015.05.016","volume":"42","author":"T Kliangsuwan","year":"2015","unstructured":"Kliangsuwan, T., Heednacram, A.: Feature extraction techniques for ground-based cloud type classification. Expert Syst. Appl. 42(21), 8294\u20138303 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"3466_CR68","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.1016\/j.patcog.2015.03.003","volume":"48","author":"T Song","year":"2015","unstructured":"Song, T., Li, H., Meng, F., Wu, Q., Luo, B.: Exploring space?frequency co-occurrences via local quantized patterns for texture representation. Pattern Recognit. 48(8), 2621\u20132632 (2015)","journal-title":"Pattern Recognit."},{"key":"3466_CR69","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.sigpro.2018.01.013","volume":"147","author":"Y Peng","year":"2018","unstructured":"Peng, Y., Li, L., Liu, S., Lei, T.: Space-frequency domain based joint dictionary learning and collaborative representation for face recognition. Signal Process. 147, 101\u2013109 (2018)","journal-title":"Signal Process."},{"issue":"1","key":"3466_CR70","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1023\/A:1011126920638","volume":"43","author":"T Leung","year":"2001","unstructured":"Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vis. 43(1), 29\u201344 (2001)","journal-title":"Int. J. Comput. Vis."},{"key":"3466_CR71","doi-asserted-by":"crossref","unstructured":"Yambay, D., Ghiani, L., Denti, P., Marcialis, G.L., Roli, F., Schuckers, S.: Livdet 2011? fingerprint liveness detection competition 2011. In: IAPR International Conference on Biometrics, pp 208\u2013215 ( 2012)","DOI":"10.1109\/ICB.2012.6199810"},{"key":"3466_CR72","doi-asserted-by":"crossref","unstructured":"Ghiani, L., Yambay, D., Mura, V., Tocco, S., Marcialis, G.L., Roli, F., et\u00a0al.: Livdet 2013 fingerprint liveness detection competition 2013. In: International Conference on Biometrics, pp. 1\u20136 (2013)","DOI":"10.1109\/ICB.2013.6613027"},{"key":"3466_CR73","doi-asserted-by":"crossref","unstructured":"Mura, V., Ghiani, L., Marcialis, G.L., Roli, F., Yambay, D.A., Schuckers, S.A.: Livdet 2015 fingerprint liveness detection competition 2015. In: IEEE International Conference on Biometrics Theory, Applications and Systems, pp. 1\u20136 (2015)","DOI":"10.1109\/BTAS.2015.7358776"},{"issue":"3","key":"3466_CR74","doi-asserted-by":"crossref","first-page":"8016","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 8016\u20138026 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"4","key":"3466_CR75","doi-asserted-by":"crossref","first-page":"1526","DOI":"10.1109\/TSMC.2018.2874281","volume":"50","author":"Z Xia","year":"2020","unstructured":"Xia, Z., Yuan, C., Lv, R., Sun, X., Xiong, N.N., Shi, Y.Q.: A novel weber local binary descriptor for fingerprint liveness detection. IEEE Trans. Syst. Man Cybern. Syst. 50(4), 1526\u20131536 (2020)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"3466_CR76","doi-asserted-by":"crossref","unstructured":"Gragnaniello, D., Poggi, G., Sansone, C., Verdoliva, L.: Fingerprint liveness detection based on weber local image descriptor. In: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pp. 46\u201350 (2013)","DOI":"10.1109\/BIOMS.2013.6656148"},{"issue":"7","key":"3466_CR77","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.1587\/transinf.2019EDL8044","volume":"E102.D","author":"WA Asera","year":"2019","unstructured":"Asera, W.A., Masayoshi, A.: Weber centralized binary fusion descriptor for fingerprint liveness detection. IEICE Trans. Inf. Syst. E102.D(7), 1422\u20131425 (2019)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"3466_CR78","volume":"102","author":"J Li","year":"2022","unstructured":"Li, J., Chen, Y., Zhang, E.: Comprehensive edge direction descriptor for fingerprint liveness detection. Signal Process. Image Commun. 102, 116603 (2022)","journal-title":"Signal Process. Image Commun."},{"issue":"4","key":"3466_CR79","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1109\/TIFS.2015.2404294","volume":"10","author":"D Gragnaniello","year":"2015","unstructured":"Gragnaniello, D., Poggi, G., Sansone, C., Verdoliva, L.: An investigation of local descriptors for biometric spoofing detection. IEEE Trans. Inf. Forensics Secur. 10(4), 849\u2013863 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"3466_CR80","doi-asserted-by":"crossref","unstructured":"Jian, W., Zhou, Y., Liu, H.: Densely connected convolutional network optimized by genetic algorithm for fingerprint liveness detection. IEEE Access 9, 2229\u20132243 (2021)","DOI":"10.1109\/ACCESS.2020.3047723"},{"issue":"7","key":"3466_CR81","doi-asserted-by":"crossref","first-page":"9993","DOI":"10.1007\/s11042-020-10136-9","volume":"80","author":"RP Sharma","year":"2020","unstructured":"Sharma, R.P., Dey, S.: A comparative study of handcrafted local texture descriptors for fingerprint liveness detection under real world scenarios. Multimed. Tools Appl. 80(7), 9993\u201310012 (2020)","journal-title":"Multimed. Tools Appl."},{"issue":"3","key":"3466_CR82","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1109\/TCDS.2019.2920364","volume":"12","author":"C Yuan","year":"2020","unstructured":"Yuan, C., Xia, Z., Sun, X., Wu, Q.M.J.: Deep residual network with adaptive learning framework for fingerprint liveness detection. IEEE Trans. Cogn. Dev. Syst. 12(3), 461\u2013473 (2020)","journal-title":"IEEE Trans. Cogn. Dev. Syst."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03466-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03466-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03466-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T05:13:26Z","timestamp":1732598006000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03466-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,6]]},"references-count":82,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["3466"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03466-w","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2024,8,6]]},"assertion":[{"value":"13 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}