An on-line signature verification system exploiting both local and global information through decision-level fusion is presented. Global information is extracted with a feature-based representation and recognized by using Parzen Windows Classifiers. Local information is extracted as time functions of various dynamic properties and recognized by using Hidden Markov Models. Experimental results a...

Signature extension is a process intended to increase the spatial-temporal range over which a set of training statistics can be used to classify data without significant loss of recognition accuracy. The goal of signature extension is to minimize the requirements for collecting ground truth and extracting training statistics, thus reducing the costs and time delays associated with those procedu...

To avoid forgery and ensure the confidentiality of Information in the field of Information Technology Security an inseparable part of it. In order to deal with security, Authentication plays an important role. This paper presents a view on the signature recognition technique and we also discussed about a technology of Signature Authentication by Back-propagation Algorithm with application. The ...

Abstract — Signature is the result of process writing a person particular nature as symbolic substance, which means symbol or mark. usually used an identifying mark person, each must have his own signature in different pattern. Because it's person's badge, Signatures now become particularly susceptible to counterfeiting and abuse that require check with pattern recognition. This research has cr...

Synopsis. This paper examines mechanisms of individual identification in the kin rec? ognition process. In type 1 kin recognition, the individual {e.g., a parent) learns the identifying cues (the "signature") of particular kin {e.g., offspring) at some stage when there are reliable contextual cues as to kinship {e.g., the parent finds the young in its nest). These kin are subsequently recognize...

This paper proposes a novel offline signature verification scheme. The idea behind the extraction of stroke speed is to extract dynamic feature from a static signature. In order to obtain the speed of the stroke, the intensity of the stroke is considered. This is because intensity is directly proportional to speed of the stroke. Faster the stroke speed, higher is its intensity value. Several ex...

Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful. Therefore, the need for an automatic signature recognition system is crucial. In this paper, a signature recognition approach based on a probabilistic...

This paper propose signature recognition system based on centre of gravity,hough transform and neural network for offline signature. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem.. In this paper, signature is preprocessed through binarization, cutting edges and thinning which provides more accurate platform for feature extr...

This paper discusses the applying of Multi-layer perceptrons for signature verification and recognition using a new approach enables the user to recognize whether a signature is original or a fraud. The approach starts by scanning images into the computer, then modifying their quality through image enhancement and noise reduction, followed by feature extraction and neural network training, and ...

In this paper, a method is proposed for feature extraction of offline signature recognition system. The proposed method is based on global features to identify forgeries and also median filter is introduces for noise reduction. The Proposed feature extraction method is compared with Discrete Radon Transform (DRT). Both the feature extraction method extracts one dimensional global features and t...