Online Signature Verification By Using KNN Algorithm

M.Sivasankara Rao, B.Yogithasingh, V.Naveenkumar, N.Kiranmai ,SK.Mohiddin

This paper presents an effectual method for "Online signature intrusion system using KNN algorithm". Increase of the digitalization in the world makes a growth of web applications in personal authentication at different fields. To obtain more accuracy rate than static feature-based signature recognition systems we performed several experiments on most widely recognized data sets like MCYT-100 and SUSIG datasets to detect both skilled and random forgeries. The verification of signature is accomplished on the feature extraction of an image from the signature using K-Nearest Neighbor(K-NN) and Gabor filter which gives a classification of the test signature as genuine or not. Depend upon the Pre-processing of the image with the existed database values it gives the result as authorized or not.

Volume 12 | Issue 2

Pages: 1072-1079

DOI: 10.5373/JARDCS/V12I2/S20201137