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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Online Signature Verification Using Neural Network |
| Authors Name: | Rohan Dattatraya Gaidhani , Rushikesh Aaba Thombare , Aarti Navnath Ghorpade , Unnati Kantilal Jadhav , Ms.Sneha A. Khaire |
| Unique Id: | IJSDR2303017 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Biometrics is now widely used all over the world for the identification and verification of people and their signatures. A person’s handwritten signature is a unique identifying work of human that is primarily used and recognized in banking and other financial and legal operations. Handwritten signatures, on the other hand, are becoming increasingly valuable due to their historical significance as a target of deception. The Sign Verification System (SVS) tries to determine whether a sign is genuine (created by the specified individual) or forged (produced by an impostor).Using images of scanned signatures and other documents without dynamic information about the signing process has proven difficult, especially in offline (static) situations. The use of Deep Learning algorithms to learn feature signature picture representations has been well-documented in the literature over the last five to ten years. Here, we examine how the subject has been studied throughout the last few decades, as well as the most recent developments and future study plans |
| Keywords: | Offline handwritten signature, classification, algorithms, artificial intelligence, CNN |
| Cite Article: | "Online Signature Verification Using Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.82 - 85, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303017.pdf |
| Downloads: | 00046 |
| Publication Details: | Published Paper ID: IJSDR2303017 Registration ID:204365 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 82 - 85 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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