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@article{178803,
        author = {Mrs. K. SHILPA and K. SANJAY and J.JEEVAN SAI and G. PARDHU REDDY},
        title = {SIGNATURE VERIFICATION USING IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6005-6009},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178803},
        abstract = {The paper presents Traditional financial instruments like checks, credit cards, and legal documents play a crucial role in modern transactions. People and businesses rely on them to transfer money and pay bills. This project focuses on offline signature verification, where a handwritten signature on paper is digitized using a scanner, tablet, or mobile device. The proposed method involves two main steps. First, the input image undergoes preprocessing to enhance and prepare the data for analysis. Second, a deep learning model is used to classify the signature based on its features. Finally, post-processing steps are applied to simplify the results for easier interpretation. This approach aims to make signature verification more efficient, reliable, and suitable for real-world applications such as banking and document authentication.},
        keywords = {Signature Verification, Deep Neural Network, Offline Verification, Image Preprocessing, Handwritten Signature, Biometric Authentication, Deep Learning Classification, Pattern Recognition, Post-processing Techniques},
        month = {May},
        }