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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 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | HANDWRITTEN SIGNATURE RECOGNITION SYSTEM USING CNN AND SVM |
| Authors Name: | Dr A Sudhir Babu , P. Anurag , M. Dinesh Vamsi , R. Venkata Kishore , P. Yaswanth |
| Unique Id: | IJSDR2403035 |
| Published In: | Volume 9 Issue 3, March-2024 |
| Abstract: | Handwritten signature authentication plays a crucial role in security, document validation, and identity verification. This study introduces an innovative methodology that combines Convolutional Neural Networks (CNN) for feature extraction and Support Vector Machines (SVM) for classification, with the aim of achieving accurate and efficient signature recognition. The main objective is to develop a system capable of learning from user signatures and then determining whether they are genuine or forged based on their unique handwritten patterns. In the training phase, a dataset of user signatures is utilized to gain insights and extract distinctive features from each genuine and forged signature's writing style. The CNN is employed to automatically extract relevant features from signature images, resulting in robust representations for subsequent classification. Each signature is associated with its respective user, providing comprehensive reference data. During the testing phase, a user-friendly web interface c |
| Keywords: | Handwritten signature authentication, Convolutional Neural Networks (CNN), Support Vector Machines (SVM), feature extraction, classification, document validation, identity verification, user signatures, genuine signatures, forged signatures. |
| Cite Article: | "HANDWRITTEN SIGNATURE RECOGNITION SYSTEM USING CNN AND SVM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.219 - 224, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403035.pdf |
| Downloads: | 000337362 |
| Publication Details: | Published Paper ID: IJSDR2403035 Registration ID:210310 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: 219 - 224 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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