{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T07:23:15Z","timestamp":1751095395699,"version":"3.41.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319699226"},{"type":"electronic","value":"9783319699233"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-69923-3_35","type":"book-chapter","created":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T02:14:39Z","timestamp":1508379279000},"page":"324-333","source":"Crossref","is-referenced-by-count":8,"title":["Fingerprint Segmentation via Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Xiaowei","family":"Dai","sequence":"first","affiliation":[]},{"given":"Jie","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Qijun","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,20]]},"reference":[{"key":"35_CR1","unstructured":"Bazen, A.M., Gerez, S.H.: Segmentation of fingerprint images. In: ProRISC 2001 Workshop on Circuits, Systems and Signal Processing, pp. 276\u2013280 (2001)"},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Kang, J., Zhang, W.: Fingerprint image segmentation using modified fuzzy c-means algorithm. In: Bioinformatics and Biomedical Engineering, pp. 1\u20134 (2009)","DOI":"10.1109\/ICBBE.2009.5162858"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Marques, A.P., Thome, A.G.: A neural network fingerprint segmentation method. In: Hybrid Intelligent Systems, pp. 6\u2013pp (2005)","DOI":"10.1109\/ICHIS.2005.12"},{"key":"35_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/11552499_3","volume-title":"Pattern Recognition and Image Analysis","author":"S Chikkerur","year":"2005","unstructured":"Chikkerur, S., Govindaraju, V., Cartwright, A.N.: Fingerprint image enhancement using STFT analysis. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds.) ICAPR 2005. LNCS, vol. 3687, pp. 20\u201329. Springer, Heidelberg (2005). doi: 10.1007\/11552499_3"},{"issue":"5","key":"35_CR5","doi-asserted-by":"crossref","first-page":"e0154160","DOI":"10.1371\/journal.pone.0154160","volume":"11","author":"DH Thai","year":"2016","unstructured":"Thai, D.H., Huckemann, S., Gottschlich, C.: Filter design and performance evaluation for fingerprint image segmentation. PLoS ONE 11(5), e0154160 (2016)","journal-title":"PLoS ONE"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Alonso-Fernandez, F., Fierrez-Aguilar, J., Ortega-Garcia, J.: An enhanced gabor filter-based segmentation algorithm for fingerprint recognition systems. In: Image and Signal Processing and Analysis, pp. 239\u2013244 (2005)","DOI":"10.1109\/ISPA.2005.195416"},{"key":"35_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1007\/3-540-45344-X_39","volume-title":"Audio- and Video-Based Biometric Person Authentication","author":"L Shen","year":"2001","unstructured":"Shen, L., Kot, A., Koo, W.: Quality measures of fingerprint images. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 266\u2013271. Springer, Heidelberg (2001). doi: 10.1007\/3-540-45344-X_39"},{"key":"35_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/11527503_54","volume-title":"Advanced Data Mining and Applications","author":"L Wang","year":"2005","unstructured":"Wang, L., Suo, H., Dai, M.: Fingerprint image segmentation based on gaussian-hermite moments. In: Li, X., Wang, S., Dong, Z.Y. (eds.) ADMA 2005. LNCS, vol. 3584, pp. 446\u2013454. Springer, Heidelberg (2005). doi: 10.1007\/11527503_54"},{"key":"35_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1007\/978-3-540-74549-5_114","volume-title":"Advances in Biometrics","author":"C Wu","year":"2007","unstructured":"Wu, C., Tulyakov, S., Govindaraju, V.: Robust point-based feature fingerprint segmentation algorithm. In: Lee, S.-W., Li, Stan Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 1095\u20131103. Springer, Heidelberg (2007). doi: 10.1007\/978-3-540-74549-5_114"},{"issue":"8","key":"35_CR10","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1109\/34.709565","volume":"20","author":"L Hong","year":"1998","unstructured":"Hong, L., Wan, Y., Jain, A.: Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 777\u2013789 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"35_CR11","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1049\/iet-bmt.2015.0010","volume":"5","author":"DH Thai","year":"2016","unstructured":"Thai, D.H., Gottschlich, C.: Global variational method for fingerprint segmentation by three-part decomposition. IET Biom. 5(2), 120\u2013130 (2016)","journal-title":"IET Biom."},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, J., Lai, R., Kuo, C.C.: Latent fingerprint segmentation with adaptive total variation model. In: 2012 5th IAPR International Conference on Biometrics (ICB), pp. 189\u2013195 (2012)","DOI":"10.1109\/ICB.2012.6199807"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, J., Lai, R., Kuo, C.C.: Latent fingerprint detection and segmentation with a directional total variation model. In: 2012 19th IEEE International Conference on Image Processing (ICIP), pp. 1145\u20131148 (2012)","DOI":"10.1109\/ICIP.2012.6467067"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Choi, H., Boaventura, M., Boaventura, I.A., Jain, A.K.: Automatic segmentation of latent fingerprints. In: 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp. 303\u2013310 (2012)","DOI":"10.1109\/BTAS.2012.6374593"},{"issue":"9","key":"35_CR15","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1109\/TPAMI.2014.2302450","volume":"36","author":"K Cao","year":"2014","unstructured":"Cao, K., Liu, E., Jain, A.K.: Segmentation and enhancement of latent fingerprints: a coarse to fine ridge structure dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 36(9), 1847\u20131859 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Kavukcuoglu, K., Farabet, C.: Convolutional networks and applications in vision. In: Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 253\u2013256 (2010)","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"35_CR17","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"issue":"2","key":"35_CR18","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1137\/080725891","volume":"2","author":"T Goldstein","year":"2009","unstructured":"Goldstein, T., Osher, S.: The split Bregman method for L1-regularized problems. SIAM J. Imaging Sci. 2(2), 323\u2013343 (2009)","journal-title":"SIAM J. Imaging Sci."},{"key":"35_CR19","unstructured":"Gilles, J., Osher, S.: Bregman implementation of Meyer\u2019s G-norm for cartoon\u00a0+\u00a0textures decomposition. UCLA Cam Report, pp. 11\u201373 (2011)"},{"key":"35_CR20","unstructured":"NIST special database 14. http:\/\/www.nist.gov\/srd\/nistsd14.cfm"},{"key":"35_CR21","volume-title":"Fingerprint Image Quality","author":"E Tabassi","year":"2015","unstructured":"Tabassi, E., Grother, P.: Fingerprint Image Quality. Springer, US (2015)"},{"key":"35_CR22","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: Convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM international conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"35_CR23","volume-title":"Image Processing, Analysis, and Machine Vision","author":"M Sonka","year":"2014","unstructured":"Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision. Cengage Learning, Boston (2014)"},{"key":"35_CR24","unstructured":"NIST special database 4. http:\/\/www.nist.gov\/srd\/nistsd4.cfm"},{"key":"35_CR25","unstructured":"FVC2000 database. http:\/\/bias.csr.unibo.it\/fvc2000\/"},{"key":"35_CR26","unstructured":"FVC2002 database. http:\/\/bias.csr.unibo.it\/fvc2002\/"},{"key":"35_CR27","unstructured":"FVC2004 database. http:\/\/bias.csr.unibo.it\/fvc2004\/"},{"key":"35_CR28","unstructured":"Neurotechnology Inc., VeriFinger. http:\/\/www.neurotechnology.com\/"},{"key":"35_CR29","unstructured":"Xu, L., Ren, J., Yan, Q., Liao, R., Jia, J.: Deep edge-aware filters. In: Proceedings of the 32nd International Conference on Machine Learning, pp. 1669\u20131678 (2015)"},{"issue":"11","key":"35_CR30","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1109\/TMI.2016.2546227","volume":"35","author":"P Liskowski","year":"2016","unstructured":"Liskowski, P., Krawiec, K.: Segmenting retinal blood vessels with deep neural networks. IEEE Trans. Med. Imaging 35(11), 2369\u20132380 (2016)","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69923-3_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T15:23:12Z","timestamp":1750951392000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69923-3_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319699226","9783319699233"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69923-3_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}