Character segmentation has long been one of the most critical areas of optical character recognition process. Through this operation, an image of a sequence of characters, which may be connected in some cases, is decomposed into sub-images of individual alphabetic symbols. In this paper, segmentation of cursive handwritten script of world’s fourth popular language, Bengali, is considered. Unlik...

Automating business transactions over the Internet relies on digital signatures, a replacement of conventional handwritten signatures in paper-based processes. Although they guarantee data integrity and authenticity, digital signatures are not as convenient to users as the manuscript ones. In this paper, a methodology is proposed to produce digital signatures using off-line hand-written signatu...

Handwritten signature is the most widely accepted biometric to identity verification. The proposed online handwritten signature verification system consists mainly of three phases: Signal preprocessing, feature extraction, and feature matching. Steps for verifying online handwritten signature in this system start with extracting dynamic data (x and y positions) of points that forming the signat...

Signature is mostly used as a means of personal verification focused the need for an automatic verification system. Verification can be categorized either Offline or Online it depends on the application which is used. Online systems uses information which are dynamic in nature information are captured at the time the signature is performed. Offline systems work on the scanned image of a signatu...

The digitization of written human knowledge into string data has reached up to but not beyond the recognition of typeset text. This means that vast libraries of handwritten, cursive documents must be indexed and transcribed by a human—a prohibitively laborious task. This paper explores an existing technique developed in [1] and [12] for the offline indexation of historical handwritten documents...

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...

HMM has been used successfully to model speech and online signature in the past two decades. The success has been attributed to the fact that these biometric traits have time reference. Only few HMM based offline signature recognition systems have be developed because offline signature lack time reference. This paper presents a recognition system for offline signatures using Discrete Cosine Tra...

HMM has been used successfully to model speech and online signature in the past two decades. The success has been attributed to the fact that these biometric traits have time reference. Only few HMM based offline signature recognition systems have be developed because offline signature lack time reference. This paper presents a recognition system for offline signatures using Discrete Cosine Tra...

HMM has been used successfully to model speech and online signature in the past two decades. The success has been attributed to the fact that these biometric traits have time reference. Only few HMM based offline signature recognition systems have be developed because offline signature lack time reference. This paper presents a recognition system for offline signatures using Discrete Cosine Tra...

HMM has been used successfully to model speech and online signature in the past two decades. The success has been attributed to the fact that these biometric traits have time reference. Only few HMM based offline signature recognition systems have be developed because offline signature lack time reference. This paper presents a recognition system for offline signatures using Discrete Cosine Tra...