{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/writer-independent-offline-signature","title":"Writer Independent Offline Signature Recognition Using Ensemble Learning","arxiv_id":"1901.06494","date":"2019-01-19","proceeding":null,"authors":["Sourya Dipta Das","Himanshu Ladia","Vaibhav Kumar","Shivansh Mishra"],"abstract":"The area of Handwritten Signature Verification has been broadly researched in\nthe last decades, but remains an open research problem. In offline (static)\nsignature verification, the dynamic information of the signature writing\nprocess is lost, and it is difficult to design good feature extractors that can\ndistinguish genuine signatures and skilled forgeries. This verification task is\neven harder in writer independent scenarios which is undeniably fiscal for\nrealistic cases. In this paper, we have proposed an Ensemble model for offline\nwriter, independent signature verification task with Deep learning. We have\nused two CNNs for feature extraction, after that RGBT for classification &\nStacking to generate final prediction vector. We have done extensive\nexperiments on various datasets from various sources to maintain a variance in\nthe dataset. We have achieved the state of the art performance on various\ndatasets.","url_abs":"http://arxiv.org/abs/1901.06494v1","url_pdf":"http://arxiv.org/pdf/1901.06494v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"writer-independent-offline-signature","repo_url":"https://github.com/himanshuladia/signature-recognizer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"ensemble-learning","task_name":"Ensemble Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}