{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T11:38:48Z","timestamp":1768995528900,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":37,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819556274","type":"print"},{"value":"9789819556281","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-5628-1_18","type":"book-chapter","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T21:29:54Z","timestamp":1768944594000},"page":"255-269","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Writer-Independent Signature Verification Method Without Forgery Signature Training"],"prefix":"10.1007","author":[{"given":"Wanying","family":"Li","sequence":"first","affiliation":[]},{"given":"Mahpirat","family":"Muhammat","sequence":"additional","affiliation":[]},{"given":"Xuebin","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Alimjan","family":"Aysa","sequence":"additional","affiliation":[]},{"given":"Kurban","family":"Ubul","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,21]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"2853","DOI":"10.1007\/s11042-023-15357-2","volume":"83","author":"SD Bhavani","year":"2024","unstructured":"Bhavani, S.D., Bharathi, R.K.: A multi-dimensional review on handwritten signature verification: strengths and gaps. Multimed. Tools Appl. 83, 2853\u20132894 (2024)","journal-title":"Multimed. Tools Appl."},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Abosamra, G., Oqaibi, H.: A signature recognition technique with a powerful verification mechanism based on CNN and PCA, vol. 12, pp. 40634\u201340656 (2024)","DOI":"10.1109\/ACCESS.2024.3377455"},{"key":"18_CR3","first-page":"953","volume":"45","author":"S Tong","year":"2023","unstructured":"Tong, S., Peng, J.: Dual-path deep neural network architecture with explicit features for offline signature recognition. J. Intell. Fuzzy Syst. 45, 953\u2013964 (2023)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Starovoitov, V.V., Akhundjanov, Yu.U.: A writer-dependent approach to offline signature verification based on one-class support vector machine, vol. 34, pp. 340\u2013351 (2024)","DOI":"10.1134\/S1054661824700135"},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s10032-022-00403-w","volume":"26","author":"MA Djoudjai","year":"2023","unstructured":"Djoudjai, M.A., Chibani, Y.: Open writer identification from offline handwritten signatures by jointing the one-class symbolic data analysis classifier and feature-dissimilarities. Int. J. Doc. Anal. Recognit. (IJDAR) 26, 15\u201331 (2023)","journal-title":"Int. J. Doc. Anal. Recognit. (IJDAR)"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Chang, S.-J., Wu, T.-R.: Development of a signature verification model based on a small number of samples, vol. 18, pp. 285\u2013294 (2024)","DOI":"10.1007\/s11760-023-02714-9"},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2019.03.027","volume":"359","author":"N \u00c7alik","year":"2019","unstructured":"\u00c7alik, N., Kurban, O.C., Yilmaz, A.R., Yildirim, T., Ata, L.D.: Large-scale offline signature recognition via deep neural networks and feature embedding. Neurocomputing 359, 1\u201314 (2019)","journal-title":"Neurocomputing"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"107851","DOI":"10.1016\/j.patcog.2021.107851","volume":"120","author":"M Jampour","year":"2021","unstructured":"Jampour, M., Abbaasi, S., Javidi, M.: CapsNet regularization and its conjugation with ResNet for signature identification. Pattern Recogn. 120, 107851 (2021)","journal-title":"Pattern Recogn."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Xiong, Y.-J., Cheng, S.-Y., Ren, J.-X., Zhang, Y.-J.: Attention-based multiple siamese networks with primary representation guiding for offline signature verification. Int. J. Doc. Anal. Recognit. (IJDAR) (2024)","DOI":"10.1007\/s10032-023-00455-6"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"114249","DOI":"10.1016\/j.eswa.2020.114249","volume":"168","author":"R Ghosh","year":"2021","unstructured":"Ghosh, R.: A Recurrent Neural Network based deep learning model for offline signature verification and recognition system. Expert Syst. Appl. 168, 114249 (2021)","journal-title":"Expert Syst. Appl."},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"109882","DOI":"10.1016\/j.patcog.2023.109882","volume":"145","author":"H Li","year":"2024","unstructured":"Li, H., Wei, P., Ma, Z., Li, C., Zheng, N.: TransOSV: offline signature verification with transformers. Pattern Recogn. 145, 109882 (2024)","journal-title":"Pattern Recogn."},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1109\/TIFS.2023.3333681","volume":"19","author":"EN Zois","year":"2023","unstructured":"Zois, E.N., Tsourounis, D., Kalivas, D.: Similarity distance learning on SPD manifold for writer independent offline signature verification. IEEE Trans. Inf. Forensics Secur. 19, 1342\u20131356 (2023)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"119111","DOI":"10.1016\/j.eswa.2022.119111","volume":"214","author":"T Longjam","year":"2023","unstructured":"Longjam, T., Kisku, D.R., Gupta, P.: Writer independent handwritten signature verification on multi-scripted signatures using hybrid CNN-BiLSTM: a novel approach. Expert Syst. Appl. 214, 119111 (2023)","journal-title":"Expert Syst. Appl."},{"issue":"7","key":"18_CR14","doi-asserted-by":"publisher","first-page":"8219","DOI":"10.1007\/s12652-021-03592-0","volume":"14","author":"S Roy","year":"2023","unstructured":"Roy, S., Sarkar, D., Malakar, S., Sarkar, R.: Offline signature verification system: a graph neural network based approach. J. Ambient. Intell. Humaniz. Comput. 14(7), 8219\u20138229 (2023)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Badie, A., Sajedi, H.: Offline handwritten signature authentication using graph neural network methods. Int. J. Inf. Technol. (2024)","DOI":"10.1007\/s41870-024-02149-6"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Li, Q., Wang, Z., Jin, L., Yadikar, N., Ubul, K.: MMHSV: a multimodal handwritten signature verification fusing dynamic and static feature. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4730\u20134734 (2024)","DOI":"10.1109\/ICASSP48485.2024.10447071"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Manna, S., Chattopadhyay, S., Bhattacharya, S., Pal, U.: SWIS: self-supervised representation learning for writer independent offline signature verification. In: IEEE International Conference on Image Processing (ICIP), pp. 1411\u20131415 (2022)","DOI":"10.1109\/ICIP46576.2022.9897562"},{"key":"18_CR18","unstructured":"Dey, S., Dutta, A., Toledo, J.I., Ghosh, S.K., Llad\u00f3s, J., Pal, U.: SigNet: convolutional siamese network for writer independent offline signature verification. Arxiv Preprint arxiv:1707.02131 (2017)"},{"key":"18_CR19","unstructured":"Snell, J., Swersky, K., Zemel, R.: Prototypical networks for few-shot learning. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., Xu, C.: GhostNet: more features from cheap operations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1580\u20131589 (2020)","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., Hu, Q.: ECA-net: efficient channel attention for deep convolutional neural networks. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp. 11534\u201311542 (2020)","DOI":"10.1109\/CVPR42600.2020.01155"},{"issue":"3","key":"18_CR22","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1109\/TPAMI.2014.2343981","volume":"37","author":"MA Ferrer","year":"2015","unstructured":"Ferrer, M.A., Diaz-Cabrera, M., Morales, A.: Static signature synthesis: a neuromotor inspired approach for biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 667\u2013680 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Srihari, S.N., Xu, A., Kalera, M.K.: Learning strategies and classification methods for off-line signature verification. In: Ninth International Workshop on Frontiers in Handwriting Recognition, pp. 161\u2013166 (2004)","DOI":"10.1109\/IWFHR.2004.61"},{"key":"18_CR24","doi-asserted-by":"crossref","unstructured":"Pal, S., Alaei, A., Pal, U., Blumenstein, M.: Performance of an off-line signature verification method based on texture features on a large Indic-script signature dataset. In: 12th IAPR Workshop on Document Analysis Systems, pp. 72\u201377 (2016)","DOI":"10.1109\/DAS.2016.48"},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Lu, X., Huang, L., Yin, F.: Cut and compare: end-to-end offline signature verification network. In: International Conference on Pattern Recognition (ICPR), pp. 3589\u20133596 (2021)","DOI":"10.1109\/ICPR48806.2021.9412377"},{"key":"18_CR26","doi-asserted-by":"crossref","unstructured":"Wei, P., Li, H., Hu, P.: Inverse discriminative networks for handwritten signature verification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5764\u20135772 (2019)","DOI":"10.1109\/CVPR.2019.00591"},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Xiong, Y.-J., Cheng, S.-Y.: Attention based multiple siamese network for offline signature verification. In: Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), pp. 337\u2013349 (2021)","DOI":"10.1007\/978-3-030-86334-0_22"},{"key":"18_CR28","doi-asserted-by":"crossref","unstructured":"Li, H., Wei, P., Ping, H.: Static-dynamic interaction networks for offline signature verification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 3, pp. 1893\u20131901 (2021)","DOI":"10.1609\/aaai.v35i3.16284"},{"key":"18_CR29","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1109\/TMM.2021.3056217","volume":"24","author":"H Li","year":"2022","unstructured":"Li, H., Wei, P., Ping, H.: AVN: an adversarial variation network model for handwritten signature verification. IEEE Trans. Multimedia 24, 594\u2013608 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"18_CR30","doi-asserted-by":"crossref","unstructured":"Mohapatra, R.K., Shaswat, K., Kedia, S.: Offline handwritten signature verification using CNN inspired by inception V1 architecture. In: International Conference on Image Information Processing (ICIIP), pp. 263\u2013267 (2019)","DOI":"10.1109\/ICIIP47207.2019.8985925"},{"key":"18_CR31","doi-asserted-by":"crossref","unstructured":"Dutta, A., Pal, U., Llad\u00f3s, J.: Compact correlated features for writer independent signature verification. In: International Conference on Pattern Recognition (ICPR), pp. 3422\u20133427 (2016)","DOI":"10.1109\/ICPR.2016.7900163"},{"key":"18_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, X., Wu, Z., Xie, L., Li, Y., Li, F., Zhang, J.: Multi-path siamese convolution network for offline handwritten signature verification. In: Proceedings of the International Conference on Computing and Data Engineering, pp. 51\u201359 (2022)","DOI":"10.1145\/3512850.3512854"},{"key":"18_CR33","doi-asserted-by":"crossref","unstructured":"Jain, A., Singh, S.K., Singh, K.P.: Multi-task learning using GNet features and SVM classifier for signature identification. IET Biomet. (2021)","DOI":"10.1049\/bme2.12007"},{"key":"18_CR34","doi-asserted-by":"publisher","first-page":"105639","DOI":"10.1016\/j.engappai.2022.105639","volume":"118","author":"J-X Ren","year":"2023","unstructured":"Ren, J.-X., Xiong, Y.-J., Zhan, H., Huang, B.: 2C2S: a two-channel and two-stream transformer based framework for offline signature verification. Eng. Appl. Artif. Intell. 118, 105639 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"18_CR35","doi-asserted-by":"crossref","unstructured":"Chattopadhyay, S., Manna, S., Bhattacharya, S., Pal, U.: SURDS: self-supervised attention-guided reconstruction and dual triplet loss for writer independent offline signature verification. In: International Conference on Pattern Recognition (ICPR), pp. 1600\u20131606 (2022)","DOI":"10.1109\/ICPR56361.2022.9956442"},{"key":"18_CR36","doi-asserted-by":"publisher","first-page":"109816","DOI":"10.1016\/j.patcog.2023.109816","volume":"144","author":"X Ji","year":"2023","unstructured":"Ji, X., Suehiro, D., Uchida, S.: Paired contrastive feature for highly reliable offline signature verification. Pattern Recogn. 144, 109816 (2023)","journal-title":"Pattern Recogn."},{"key":"18_CR37","doi-asserted-by":"publisher","first-page":"111146","DOI":"10.1016\/j.patcog.2024.111146","volume":"159","author":"L Zheng","year":"2025","unstructured":"Zheng, L., Da, W., Xu, S., Zheng, Y.: HTCSigNet: a hybrid transformer and convolution signature network for offline signature verification. Pattern Recogn. 159, 111146 (2025)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5628-1_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T21:29:59Z","timestamp":1768944599000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5628-1_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819556274","9789819556281"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5628-1_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"21 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}