The 11th Iranian and the first International Conference on Machine Vision and Image Processing

Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features

Atefeh Foroozandeh, Ataollah Askari Hemmat, Hossein Rabbani
The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

Abstract

Handwriting signatures are widely used to register ownership in banking systems, administrative and financial applications, all over the world. With the increasing advancement of technology, increasing the volume of financial transactions, and the possibility of signature fraud, it is necessary to develop more accurate, convenient, and cost effective signature based authentication systems. In this paper, a signature verification method based on circlet transform and the statistical properties of the circlet coefficients is presented. Experiments have been conducted using three benchmark datasets: GPDS synthetic and MCYT-75 as two Latin signature datasets, and UTSig as a Persian signature dataset. Obtained experimental results, in comparison with literature, confirm the effectiveness of the presented method.

Keywords: Offline Handwritten Signature Verification, Circlet Transform, Gray Level Co-occurrence Matrix, Statistical Feature



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