This work analyses dense and sparse 3D Deformation Signatures to represent temporal deformation instances. The signatures are employed in dynamic face recognition, however, they applicable other domains. is demonstrated for expression recognition. pushing need non-intrusive bio-metric measurements made its expressions recognition dominant players domains like entertainment, surveillance securit...

This article addresses the problem of recognizing a solid bounded by a smooth surface in a single image. The proposed approach is based on a new representation for two-and three-dimensional shapes, called their signature, that exploits the close relationship between the dual of a surface and the dual of its silhouette in weak-perspective images. Objects are modeled by rotating them in front of ...

This paper presents experiments on recognition of signature images. In preprocessing stage a thinning algorithm is used followed by a sampling technique. Sampled points are used to calculate shape context histograms and based on their values corresponding pairs of points from reference and tested signature objects are selected. A distance measure based on shape contexts is used to classify anal...

Handwritten signatures are the most natural way of authenticating a person’s identity. An offline signature verification system generally consists of four components: data acquisition, preprocessing, feature extraction, recognition and verification. This paper presents a method for verifying handwritten signature by using NN architecture. In proposed methods the multi-layer perceptron (MLP), mo...

-Signature is the most important feature of a bank cheque. Basically signature verification is a scheme to verify a cheque for its authentication. The data base consist of several bank’s cheque. The present paper focuses on different steps including browsing a bank cheque, pre-processing, feature extraction, recognition. Preprocessing stage includes image resizing, noise elimination, thinning e...

In recent years, internet business has been developing rapidly along with the wide application of Internet and the security of users’ information has become more and more important point for the development of internet business. Therefore developing an individual recognition system especially fit for internet application is becoming pressing task. Recently, biometrics information, such as finge...

In this paper we present an approach to the problem of segmenting and identifying handwritten annotations on noisy document images. In many types of documents such as correspondence, it is not uncommon for handwritten annotations to be added as part of a note, correction, clarification, or instruction, or for initials or a signature to appear as an authentication mark. It is important to be abl...

53 ISSN: 2278 – 7798 All Rights Reserved © 2015 IJSETR Abstract—Among all biological techniques for identifying persons, handwritten signature has an important role because signature of each person is provided easily and processedquickly. Having a high performance recognition system is very essential. Persian signatures are different from other kind of signatures because people usually do not w...

Signature recognition is probably the oldest biometrical identification method with a high legal acceptance. Although automated signature verification has been studied for more than 30 years this field still lacks the necessary formalization to evaluate and compare different signature verification systems. Our research aims separating the steps of signature verification and dissecting the monol...