HANDWRITTEN SIGNATURE RECOGNITION SYSTEM USING CNN AND SVM
Dr A Sudhir Babu
, P. Anurag , M. Dinesh Vamsi , R. Venkata Kishore , P. Yaswanth
Handwritten signature authentication, Convolutional Neural Networks (CNN), Support Vector Machines (SVM), feature extraction, classification, document validation, identity verification, user signatures, genuine signatures, forged signatures.
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
"HANDWRITTEN SIGNATURE RECOGNITION SYSTEM USING CNN AND SVM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.219 - 224, March-2024, Available :https://ijsdr.org/papers/IJSDR2403035.pdf
Volume 9
Issue 3,
March-2024
Pages : 219 - 224
Paper Reg. ID: IJSDR_210310
Published Paper Id: IJSDR2403035
Downloads: 000347106
Research Area: Computer Engineering
Country: Krishna, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
