{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:57:50Z","timestamp":1742918270741,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755936"},{"type":"electronic","value":"9789819755943"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5594-3_32","type":"book-chapter","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T15:06:26Z","timestamp":1723561586000},"page":"377-389","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fed-UIQA: Federated Learning for Unsupervised Finger Vein Image Quality Assessment"],"prefix":"10.1007","author":[{"given":"Xingli","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jian","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Hengyu","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Lejun","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Chong","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"key":"32_CR1","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.inffus.2021.10.004","volume":"79","author":"K Shaheed","year":"2022","unstructured":"Shaheed, K., Mao, A., Qureshi, I., et al.: Recent advancements in finger vein recognition technology: methodology, challenges and opportunities. Inf. Fusion. 79, 84\u2013109 (2022)","journal-title":"Inf. Fusion."},{"issue":"2","key":"32_CR2","first-page":"347","volume":"7","author":"D Nguyen","year":"2013","unstructured":"Nguyen, D., Park, Y., Shin, K., et al.: New finger-vein recognition method based on image quality assessment. KSII Trans. Internet Inf. Syst. (TIIS). 7(2), 347\u2013365 (2013)","journal-title":"KSII Trans. Internet Inf. Syst. (TIIS)."},{"key":"32_CR3","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ins.2013.10.009","volume":"268","author":"J Yang","year":"2014","unstructured":"Yang, J., Shi, Y.: Towards finger-vein image restoration and enhancement for finger-vein recognition. Inf. Sci. 268, 33\u201352 (2014)","journal-title":"Inf. Sci."},{"key":"32_CR4","first-page":"1","volume":"71","author":"B Hou","year":"2022","unstructured":"Hou, B., Zhang, H., Yan, R.: Finger-vein biometric recognition: a review. IEEE Trans. Instrum. Meas. 71, 1\u201326 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Peng, J., Li, Q., Niu, X.: A novel finger vein image quality evaluation method based on triangular norm. In: Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 239\u2013242. IEEE (2014)","DOI":"10.1109\/IIH-MSP.2014.66"},{"issue":"8","key":"32_CR6","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1109\/TCSVT.2017.2684826","volume":"28","author":"H Qin","year":"2018","unstructured":"Qin, H., El-Yacoubi, M.A.: Deep representation for finger-vein image-quality assessment. IEEE Trans. Circ. Syst. Video Technol. 28(8), 1677\u20131693 (2018). https:\/\/doi.org\/10.1109\/TCSVT.2017.2684826","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"Zeng, J., Chen, Y., Qin, C.: Finger-vein image quality assessment based on light-CNN. In: 14th IEEE International Conference on Signal Processing (ICSP), pp. 768\u2013773. IEEE (2018)","DOI":"10.1109\/ICSP.2018.8652381"},{"key":"32_CR8","doi-asserted-by":"publisher","first-page":"116603","DOI":"10.1016\/j.eswa.2022.116603","volume":"196","author":"H Ren","year":"2022","unstructured":"Ren, H., Sun, L., Guo, J., et al.: A high compatibility finger vein image quality assessment system based on deep learning. Expert Syst. Appl. 196, 116603 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.116603","journal-title":"Expert Syst. Appl."},{"key":"32_CR9","doi-asserted-by":"publisher","unstructured":"Gupta, H., Rajput, T., Vyas, R., et al.: Biometric iris identifier recognition with privacy preserving phenomenon: a federated learning approach. In: International Conference on Neural Information Processing, pp. 493\u2013504. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-99-1648-1_41","DOI":"10.1007\/978-981-99-1648-1_41"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Guliani, D., Beaufays, F., Motta, G.: Training speech recognition models with federated learning: a quality\/cost framework. In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3080\u20133084. IEEE (2021)","DOI":"10.1109\/ICASSP39728.2021.9413397"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., et al.: Arcface: additive angular margin loss for deep face recognition. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 4690\u20134699 (2019)","DOI":"10.1109\/CVPR.2019.00482"},{"key":"32_CR12","unstructured":"McMahan, H., Moore, E., Ramage, D., et al.: Communication-efficient learning of deep networks from decentralized data. In: Artificial Intelligence and Statistics, pp. 1273\u20131282. PMLR (2017)"},{"key":"32_CR13","doi-asserted-by":"publisher","first-page":"2030","DOI":"10.1109\/TIFS.2022.3175599","volume":"17","author":"H Ren","year":"2022","unstructured":"Ren, H., Sun, L., Guo, J., et al.: A dataset and benchmark for multimodal biometric recognition based on fingerprint and finger vein. IEEE Trans. Inf. Forensics Secur. 17, 2030\u20132043 (2022)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"7","key":"32_CR14","doi-asserted-by":"publisher","first-page":"3367","DOI":"10.1016\/j.eswa.2013.11.033","volume":"41","author":"M Asaari","year":"2014","unstructured":"Asaari, M., Suandi, S., Rosdi, B.: Fusion of band limited phase only correlation and width centroid contour distance for finger based biometrics. Expert Syst. Appl. 41(7), 3367\u20133382 (2014). https:\/\/doi.org\/10.1016\/j.eswa.2013.11.033","journal-title":"Expert Syst. Appl."},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Lu, Y., Xie, S., Yoon, S., et al.: An available database for the research of finger vein recognition. In: 2013 6th International congress on image and signal processing (CISP), pp. 410\u2013415. IEEE (2013)","DOI":"10.1109\/CISP.2013.6744030"},{"issue":"4","key":"32_CR16","doi-asserted-by":"publisher","first-page":"2228","DOI":"10.1109\/TIP.2011.2171697","volume":"21","author":"A Kumar","year":"2011","unstructured":"Kumar, A., Zhou, Y.: Human identification using finger images. IEEE Trans. Image Process. 21(4), 2228\u20132244 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"32_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-642-25449-9_33","volume-title":"Biometric Recognition","author":"Y Yin","year":"2011","unstructured":"Yin, Y., Liu, L., Sun, X.: SDUMLA-HMT: a multimodal biometric database. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds.) CCBR 2011. LNCS, vol. 7098, pp. 260\u2013268. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-25449-9_33"},{"key":"32_CR18","first-page":"429","volume":"2","author":"T Li","year":"2020","unstructured":"Li, T., Sahu, A., Zaheer, M., et al.: Federated optimization in heterogeneous networks. Proc. Mach. Learn. Syst. 2, 429\u2013450 (2020)","journal-title":"Proc. Mach. Learn. Syst."},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Liu, R., Tan, W.: Eqface: a simple explicit quality network for face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1482\u20131490 (2021)","DOI":"10.1109\/CVPRW53098.2021.00164"},{"key":"32_CR20","doi-asserted-by":"crossref","unstructured":"Yang, C., Guo, J., Zhang, Y., et al.: Finger vein image quality assessment based on stochastic embedding robustness. In: 2023 42nd Chinese Control Conference (CCC), pp. 7889\u20137894. IEEE, (2023)","DOI":"10.23919\/CCC58697.2023.10240965"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5594-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T15:12:37Z","timestamp":1723561957000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5594-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755936","9789819755943"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5594-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}