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M.Tech M.E PhD Thesis | Computer Science Engineering | Volume 6 Issue 9, September 2017 | Pages: 804 - 808 | India
A Novel Approach for Offline Signature Verification based on Texture and Gabor Wavelet Features
Abstract: The main point is the Fingerprint Recognition is widely used for the individual verification that gives stress to the signature verification system. We used local binary pattern s with the Scale invariant Feature Transform and G-SURF to match the scanned signature to the inked signature. The unwanted feature is removed and the signature are matched and verified. I categorize and give an account of the various type of techniques that have been proposed for signature verification.
Keywords: Biometric, Fingerprint Recognition, SIFT, G-SURF, LBP
How to Cite?: Ritika Sachdeva, Ekta Gupta, "A Novel Approach for Offline Signature Verification based on Texture and Gabor Wavelet Features", Volume 6 Issue 9, September 2017, International Journal of Science and Research (IJSR), Pages: 804-808, https://www.ijsr.net/getabstract.php?paperid=ART20174804, DOI: https://dx.doi.org/10.21275/ART20174804