{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:31:58Z","timestamp":1780637518332,"version":"3.54.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319466538","type":"print"},{"value":"9783319466545","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46654-5_72","type":"book-chapter","created":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T05:55:02Z","timestamp":1474350902000},"page":"655-662","source":"Crossref","is-referenced-by-count":15,"title":["2D Fake Fingerprint Detection Based on Improved CNN and Local Descriptors for Smart Phone"],"prefix":"10.1007","author":[{"given":"Yongliang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongtao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Conglin","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,21]]},"reference":[{"issue":"2","key":"72_CR1","doi-asserted-by":"crossref","first-page":"28:1","DOI":"10.1145\/2617756","volume":"47","author":"E Marasco","year":"2014","unstructured":"Marasco, E., Ross, A.: A survey on antispoofing schemes for fingerprint recognition systems. ACM Comput. Surv. 47(2), 28:1\u201328:36 (2014)","journal-title":"ACM Comput. Surv."},{"issue":"4","key":"72_CR2","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"},{"issue":"7","key":"72_CR3","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1109\/TIFS.2016.2535899","volume":"11","author":"R Dubey","year":"2016","unstructured":"Dubey, R., 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."},{"key":"72_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patrec.2015.03.015","volume":"60\u201361","author":"Q Huang","year":"2015","unstructured":"Huang, Q., Chang, S., Liu, C., et al.: An evaluation of fake fingerprint databases utilizing SVM Classification. Pattern Recogn. Lett. 60\u201361, 1\u20137 (2015)","journal-title":"Pattern Recogn. Lett."},{"key":"72_CR5","doi-asserted-by":"crossref","unstructured":"Rattani, A., Ross, A.: Automatic adaptation of fingerprint liveness detector to new spoof materials. In: 2014 IEEE International Joint Conference on Biometrics, pp. 1\u20138 (2014)","DOI":"10.1109\/BTAS.2014.6996254"},{"issue":"11","key":"72_CR6","doi-asserted-by":"crossref","first-page":"2447","DOI":"10.1109\/TIFS.2015.2464772","volume":"10","author":"A Rattani","year":"2015","unstructured":"Rattani, A., Scheirer, W.J., Ross, A.: Open set fingerprint spoof detection across novel fabrication materials. IEEE Trans. Inf. Forensics Secur. 10(11), 2447\u20132460 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"72_CR7","doi-asserted-by":"crossref","unstructured":"Marasco, E., Wild, P., Cukic, B.: Robust and interoperable fingerprint spoof detection via convolutional neural networks. In: IEEE International Conference on Technologies for Homeland Security, pp. 1\u20136 (2016)","DOI":"10.1109\/THS.2016.7568925"},{"issue":"4","key":"72_CR8","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.A., 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":"72_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/978-3-319-25417-3_29","volume-title":"Biometric Recognition","author":"C Wang","year":"2015","unstructured":"Wang, C., Li, K., Wu, Z., Zhao, Q.: A DCNN based fingerprint liveness detection algorithm with voting strategy. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds.) CCBR 2015. LNCS, vol. 9428, pp. 241\u2013249. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-25417-3_29"},{"issue":"6","key":"72_CR10","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1109\/TIFS.2016.2520880","volume":"11","author":"R Nogueira","year":"2016","unstructured":"Nogueira, R., Lotufo, R., Machado, R.: Fingerprint liveness detection using convolutional neural networks. IEEE Trans. Inf. Forensics Secur. 11(6), 1206\u20131213 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"72_CR11","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: Proceedings of the 32nd International Conference on Machine Learning, pp. 448\u2013456 (2015)"},{"key":"72_CR12","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. In: International Conference on Learning Representations (2014). http:\/\/arxiv.org\/abs\/1312.4400"},{"key":"72_CR13","unstructured":"Cao, K., Jain, A.K.: Hacking mobile phones using 2D Printed Fingerprints. MSU Technical report, MSU-CSE-16-2 (2016)"},{"issue":"7","key":"72_CR14","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikinen, M., Menp, T.: Multiresolution Gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"72_CR15","doi-asserted-by":"crossref","unstructured":"Nikam, S.B., Agarwal, S.: Texture and wavelet-based spoof fingerprint detection for fingerprint biometric systems. In: Proceedings of the 1st International Conference on Emerging Trends in Engineering and Technology, pp. 675\u2013680, July 2008","DOI":"10.1109\/ICETET.2008.134"},{"key":"72_CR16","doi-asserted-by":"crossref","unstructured":"Ojansivu, V., Rahtu, E., Heikkil\u00e4, J.: Rotation invariant local phase quantization for blur insensitive texture analysis. In: Proceedings of the 19th International Conference on Pattern Recognition, pp. 1\u20134, December 2008","DOI":"10.1109\/ICPR.2008.4761377"},{"key":"72_CR17","unstructured":"Ghiani, L., Marcialis, G., Roli, F.: Fingerprint liveness detection by local phase quantization. In: Proceedings of International Conference on Pattern Recognition, pp. 537\u2013540 (2012)"},{"key":"72_CR18","unstructured":"Caffe Github, https:\/\/github.com\/BVLC\/caffe\/tree\/master\/models\/bvlc_alexnet"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46654-5_72","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T23:12:47Z","timestamp":1498345967000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46654-5_72"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319466538","9783319466545"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46654-5_72","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}