Neural Network Based Approach For Signature Verification And Recognition

Abstract

Signature can be seen as an individual characteristic of a person which can be used for his/her validation. An automated signature verification and recognition technique saves valuable time and money. Neural network based approach for signature verification and recognition discussed in this paper which enables the user to recognize whether a signature is original or a fraud. The user introduces into the computer the scanned images, modifies their quality by image enhancement and noise reduction techniques, to be followed by feature extraction and neural network training, and finally verifies the authenticity of the signature. The paper is primarily focused on five features of extraction like eccentricity, kurtosis, skewness, orientation and centroid. The extracted features of investigation signature are compared with the previously trained features of the reference signature. This technique is suitable for various applications such as bank transactions, passports with good authentication results etc