An Application of GMM Algorithm in Signature Skew Detection

Vol. 2  Issue 3
Year: 2015
Issue:Sep-Nov
Title:An Application of GMM Algorithm in Signature Skew Detection
Author Name:T. M. Rajesh and V. N. Manjunath Aradhya 
Synopsis:

Signature Identification and Verification (SIV) system is one of the oldest behavioral biometrics, which is being more widely used for the identification and verification applications by a person. Handwritten signature written with a skew is a hurdle to any SIV system. If one has to achieve the accurate results in identification and verification process using signature as a biometric trait, we need to remove the skew of the signatures which are scanned from the documents, and in order to estimate the skew angle and correct the skewness of the signature, skew detection stage is the most important step to be taken care off. In this paper the authors present a Gaussian Mixture Model to estimate the skew angle of a signature. Experimentation is carried out on the Kannada signature database of 30 users.