www.tjprc.org editor@tjprc.org International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN(P): 2249-6831; ISSN(E): 2249-7943 Vol. 4, Issue 2, Apr 2014, 21-30 © TJPRC Pvt. Ltd. OFFLINE SIGNATURE VERIFICATION USING HU’S MOMENT AND GABOR WAVELET TRANSFORM PRIYANKA BAGUL 1 & LEENA RAGHA 2 1 Department of Computer Science & Engineering, Ramrao Adik Institute of Technology, Navi Mumbai, Maharashtra, India 2 Department of Information Technology, Ramrao Adik Institute of Technology, Navi Mumbai, Maharashtra, India ABSTRACT The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. However human signatures can be handled as an image and recognized using computer vision and NN techniques. With modern computers, there is need to develop fast algorithms for signature recognition. There are various approaches to signature recognition with a lot of scope of research. In this report, off-line signature verification using NN is proposed, where the signature is captured and presented to the user in an image format. Signatures are verified based on parameters extracted from the signature using various transform techniques. In our project we will use Hu’s moment, Radon transform and Gabor wavelet transform. By combining this transform technique we will extract more features and will get more accurate output. KEYWORDS: Signature Verification, Human Signatures, Feature Extraction and Classification, Verification Techniques 1. INTRODUCTION Human signatures provide secure means for sanctioning legal documents. It is widely acceptable and collectable biometric characteristic. The problem arises when someone is trying to copy our signature and steal our identity then it could be used to make serious damage to us. Therefore, there is a need for adequate protection of our signature and it needs to be known who actually signed a document. So nowadays, automatic signature verification becomes an essential component as it particularizes in handling signatures. 1.1 Techniques for the Signature Verification Signature verification can be grouped into two methods Online The online method uses a stylus and an electronic tablet connected to a computer to extract information about the signature. This method empowers dynamic information such as stroke sequence, number of strokes, pressure, acceleration, and direction of each stroke to be captured while a signature is being written [1] [2]. Offline In the offline signature verification techniques, images of the signatures written on a paper are obtained using a