The study being presented is a continuation of the previous studies that consisted in the adaptation and use of the Levenshtein method in a signature recognition process. Three methods based on the normalized Levenshtein measure were taken into consideration. The studies included an analysis and selection of appropriate signature features, on the basis of which the authenticity of a signature w...

This paper describes a unique method of recognizing common patterns among various images. It makes use of signatures of images which enables it to overcome the problem of different features ordering and appearance of noisy and less expressive features. It discusses two different methods of finding common set of data among various signatures. It has been then concluded that the proposed algorith...

Iris recognition has been done by many researchers in last decade. Iris recognition plays an important role to improve efficiency in biometric identification due to its reliability in highly secured areas. Such as In Airports And Harbors, Access Control In Laboratories And Factories traditional issue is focused on full fingerprint images matching and face detection are used for identification o...

The paper presents the method of signature recognition, which is a modification of the windows technique. This windows technique allows comparing signatures with the use of any similarity coefficient, without the necessity of using additional algorithms equalizing the lengths of the sequences being compared. The elaborated method introduces a modification regarding the repeatability of individu...

A vector rule-based approach and analysis to on-line slant signature recognition algorithm is presented. Extracting features in signature is an intense area due to complex human behavior, which is developed through repetition. Features such as direction, slant, baseline, pressure, speed and numbers of pen ups and downs are some of the dynamic information signature that can be extracted from an ...

This paper proposes an accurate, rotation invariant, and fast approach for detection of facial features from thermal images. The proposed approach combines both appearance and geometric information to detect the facial features. A texture based detector is performed using Haar features and AdaBoost algorithm. Then the relation between these facial features is modeled using a complex Gaussian di...

This paper proposes a simple adaptive off-line signature recognition method based on the feature analysis of extracted significant strokes for a given signature. Our system correctly decides on the majority of tested patterns, which include both simple and skilled forgeries. The presence of possible doubtful signatures (those ones on which is difficult to decide) is also considered. Experimenta...

Recognition and verification of persons are difficult and important tasks today. In many fields of human activities (driver’s licenses, passports, electronic cards, etc.), signature recognition of person is needed. Hence, it inspires the development of a wide range of automatic identification systems. Signatures have been used for many centuries as a method of people’s identification. Signature...

The SVM is a new classification technique in the field of statistical learning theory which has been applied with success in pattern recognition applications like face and speaker recognition, while the HMM has been found to be a powerful statistical technique which is applied to handwriting recognition and signature verification. This paper reports on a comparison of the two classifiers in off...