Signature Recognition Using Discrete Fourier Transform Abstract

Abstract

We use our signatures every day for wide range of applications. Signature pattern of a person can be implemented to recognize biometric characteristics. This form of recognition is commonly used authentication, verification and recognition. The recognition of signature pattern can be realized either online recognition or offline recognition. This work is implemented via offline recognition in which features are extracted from signature images using discrete Fourier transform (DFT). Data of signature patterns are collected from different persons in different forms to be implemented via the proposed system. Then the implemented system measures the differences between two signature images via preprocessing, feature extraction and matching of the results.