This paper presents an extensive investigation of various HMM-based techniques for signature verification. Different feature extraction methods and HMM topologies are compared in order to obtain an optimized high performance signature verification system. Furthermore, this paper may be the first systematic comparison of online and off-line methods for signature verification using exactly the sa...

An identity based signature scheme allows any pair of users to communicate securely and to verify each others signatures without exchanging public key certificates. An aggregate signature scheme is a digital signature scheme which supports aggregation of signatures. Batch verification is a method to verify multiple signatures at once. Aggregate signature is useful in reducing both communication...

Today signature verification are used in various places for authentication and security purpose .Every signature or signed identified each person physiological or behavioral characteristic. Signature matching is very important in this time because any person can generated another person signature in fraud way. So systems have need for verification of the signature. The signature verification ca...

Most people are used to signing documents and because of this, it is a trusted and natural method for user identity verification, reducing the cost of password maintenance and decreasing the risk of eBusiness fraud. In the proposed system, identity is securely verified and an authentic electronic signature is created using biometric dynamic signature verification. Shape, speed, stroke order, of...

The last three decades of research brought many improvements in the field of signature verification. On-line signature verification already has several commercial applications. However, the off-line verification problem is much harder to tackle. One of the tasks is the identification and matching of coherent shapes in different images, which can be a key factor in imporving existing systems. Th...

Signature detection have a major issue in digital verification of signature without using online help. Handwritten signature is one of the most vastly accepted personal attributes for identity verification. The main area of research on signature verification is in the field of pattern recognition and image processing. Earlier different method of feature detection and classifications has been us...

Off-line signature verification methods have to tackle with a number of high resolution images, therefore it is vital to use efficient image processing algorithms. This paper proposes a heuristic stroke extraction algorithm to create a compact representation of the signature whilst minimizing the loss of semantic information and the computational needs. Some issues of the algorithm are highligh...

In this paper, we describe a new method to identify the handwriting signature. There are many methods for signature verification, but most of them require segmentation or connected component analysis. A robust Verification technique for identifying and verifying human-signature images is presented. The Verification process utilizes the determinant value that produces the features for the handwr...

In this paper, a writer-dependent signature verification method is proposed. Two different types of texture features, namely Wavelet and Local Quantized Patterns (LQP) features, are employed to extract two kinds of transform and statistical based information from signature images. For each writer two separate oneclass support vector machines (SVMs) corresponding to each set of LQP and Wavelet f...