{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:39:13Z","timestamp":1772642353348,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811021060","type":"print"},{"value":"9789811021077","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,12,25]],"date-time":"2016-12-25T00:00:00Z","timestamp":1482624000000},"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\/978-981-10-2107-7_22","type":"book-chapter","created":{"date-parts":[[2016,12,24]],"date-time":"2016-12-24T18:00:07Z","timestamp":1482602407000},"page":"241-250","source":"Crossref","is-referenced-by-count":7,"title":["Sclera Vessel Pattern Synthesis Based on a Non-parametric Texture Synthesis Technique"],"prefix":"10.1007","author":[{"given":"Abhijit","family":"Das","sequence":"first","affiliation":[]},{"given":"Prabir","family":"Mondal","sequence":"additional","affiliation":[]},{"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Blumenstein","sequence":"additional","affiliation":[]},{"given":"Miguel A.","family":"Ferrer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,25]]},"reference":[{"key":"22_CR1","unstructured":"Derakhshani, R., A. Ross, A., Crihalmeanu, S.: A New Biometric Modality Based on Conjunctival Vasculature. Artificial Neural Networks in Enineering (2006) 1\u20136."},{"key":"22_CR2","unstructured":"Das, A., Pal, U., Ballester, M., F., A., Blumenstein, M.: A New Method for Sclera Vessel Recognition using OLBP. Chinese Conference on Biometric Recognition, LNCS 8232 (2013) 370\u2013377."},{"key":"22_CR3","unstructured":"Das, A., Pal, U., Ballester, M., F., Blumenstein, M.: Sclera Recognition Using D-SIFT. 13th International Conference on Intelligent Systems Design and Applications (2013) 74\u201379."},{"key":"22_CR4","unstructured":"Das, A., Pal, U., Blumenstein M., Ballester, M., F.: Sclera Recognition\u2014A Survey. Advancement in Computer Vision and Pattern Recognition (2013) 917 \u2013921."},{"key":"22_CR5","unstructured":"Das, A., Pal, U., Ballester, M., F., Blumenstein, M.: Fuzzy Logic Based Sclera Recognition. FUZZ-IEEE (2014) 561\u2013568."},{"key":"22_CR6","unstructured":"Das, A., Pal, U., Ballester M., F., Blumenstein, M.: Multi-angle Based Lively Sclera Biometrics at a Distance. IEEE Symposium Series on Computational Intelligence (2014) 22\u201329."},{"key":"22_CR7","unstructured":"Das, A., Pal, U., Ballester, M., A., F., Blumenstein, M.: A new efficient and adaptive sclera recognition system. Computational Intellig. in Biometrics and Identity Management. IEEE Symposium (2014) 1\u20138."},{"key":"22_CR8","unstructured":"Das, A., Pal, U., Blumenstein, M., Ballester, M., A., F.: Sclera Segmentation Benchmarking Competition (2015). http:\/\/www.ict.griffith.edu.au\/conferences\/btas2015 ."},{"key":"22_CR9","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1016\/j.patrec.2011.11.006","volume":"33","author":"S Crihalmeanu","year":"2012","unstructured":"Crihalmeanu, S., Ross., A.: Multispectral scleral patterns for ocular biometric recognition. Pattern Recognition Letters, Vol. 33 (2012) 1860\u20131869.","journal-title":"Pattern Recognition Letters"},{"key":"22_CR10","unstructured":"Zhou, Z., Du, Y., Thomas, N., L., Delp, E., J.: Quality Fusion Based Multimodal Eye Recognition. IEEE International Conference on Systems, Man, and Cybernetics (2012) 1297\u20131302."},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Das, A., Kunwer, R.., Pal, U., M. A. Ballester, M., A., F., Blumenstein, M.: An online learning-based adaptive biometric system. Adaptive Biometric Systems: Recent Advances and Challenges (2015) 73\u201395.","DOI":"10.1007\/978-3-319-24865-3_5"},{"issue":"10","key":"22_CR12","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.1016\/j.cviu.2013.06.003","volume":"117","author":"J Galbally","year":"2013","unstructured":"Galbally, J., Ross, A., Gomez-Barrero, M., Fierrez, J., Ortega-Garcia, J.,: Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms, Computer Vision and Image Understanding, Vol. 117, n. 10, (2013) 1512\u20131525.","journal-title":"Computer Vision and Image Understanding"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Efros, A., Leung, T.,: Texture Synthesis by Non-Parametric Sampling. In Proceedings of International Conference on Computer Vision, (1999), 1033\u20131038.","DOI":"10.1109\/ICCV.1999.790383"},{"key":"22_CR14","unstructured":"Proen\u00e7a, H., Alexandre, L., A.: UBIRIS: A noisy iris image database, Proceed. of ICIAP 2005\u2014Intern. Confer. on Image Analysis and Processing, 1: (2005) 970\u2013977."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of International Conference on Computer Vision and Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-2107-7_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T02:43:29Z","timestamp":1498358609000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-2107-7_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,25]]},"ISBN":["9789811021060","9789811021077"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-2107-7_22","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,25]]}}}