Offline Handwritten Signature Verification using Distance based Classifier
Alpana Deka · International Journal of Advanced Scientific Research and Management · 2019
An offline handwritten signature verification system reduces number of occurrences of fraud events.In different document materials like credit cards, passport validation, banking transactions and different financial transactions, signatures are verified.Whether a signature is genuine or forgery is detected by comparing the training and testing data sets.This paper describes an offline handwritten signature verification system using global features.Here, signature verification is done by Euclidean distance which results False Rejection Rate (FRR), False Acceptance Rate (FAR) and Total Success Rate (TSR) as 6.66%, 26.66% and 93.3% respectively.