Background Dermatoglyphics could assist in the diagnosis of congenital abnormalities. The aim of this study was to identify the dermatoglyphic patterns (finger print pattern type, total ridge count of each finger, a-b ridge count, and articulotrochanteric distance [ATD angles]) in the parents of cystic fibrosis children. Materials and Methods We recruited 75 parents of children with cystic fibr...

abstract memento photographs is the one in which the memory element is more recognizable than any other types of photograph like, snapshot, family photos, personal and domestic ones. in fact the role “memory” is the witness of the time. from the time which camera was invented, its capacity to record the scars of the time made it the popular art among the others. according to the camera’s abilit...

Finger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms ...

In this paper we propose the Formal Verification of existing models like in banking sector ie ATM Transaction through biometric (Finger Print) with the help of Real Time Constraint Notation. Finger print recognition is most popular and commonest method of using the biometrics. In the finger print technology, the uniqueness of epidermis of fingers is utilized for identification of user. The user...

In the presented work, it is proposed to enhance the finger print image quality based on an adaptive fingerprint enhancement method that is based on contextual filtering. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. Once the finger print image is enhanced at the required level, the pores are extracted based on segmentat...

Our research is to overcome drawbacks in the current techniques for touch-less fingerprint recognition. We focus mainly image preprocessing, feature extraction and feature match. Each task analyzed by classical and up-to-date methods. Depending on the analysis, an integrated solution for demonstration of fingerprint recognition is developed. Our demonstration program is coded by MATLAB. To impr...

This paper proposes a method to verify the finger print of any individual based on ridge edge detection. MATLAB is used as the programming tool. The method detects the ridge endings and bifurcations of an individual finger print. The quality of the finger print image is enhanced by preprocessing for better performance. The verification, takes into account of the relative positions and alignment...

-In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Pattern, which enhances the information as each pixel is represented as a binary LDP code. The Finger-Knuckle-Print is divided into smaller areas and LDP histograms are extracted from...

This paper describes a novel approach to finger print matching using a new mathematical transform: the contourlet transform. Contourlet improves traditional wavelet based approaches by incorporating a directional component. It finds a direct discrete-space construction and is therefore computationally efficient. In this paper, 2-D spectrum is divided into fine slices using iterated directional ...