Offline Signature Recognition Using Global Features
Pallavi Sachin Patil · 2013
Abstract—This Signature identification and verification is considered among the most popular biometric methods in the area of personal authentication. In proposed method we deal with offline recognition of signatures based on extracting Global Features. Before extracting different features from the signature, some pre-processing of the signature is done. In pre-processing, the signature is colour normalized and scaled into a standard format. The algorithm is based on extracting global features like Area, Height, and Width etc. Euclidean Distance model is used while finding match between test signature and signature stored in the database. The algorithm gives good recognition rate. Keywords—Signature Recognition, scaling, feature extraction, Euclidean distance, Global features. I.