Most of the proposed methods used for fingerprint verification are based on local visible features called minutiae. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In this paper, the idea of decision-level fusion of orientation, texture, and spectral features of fingerprint image is proposed. At first, a...

Fingerprint improvement is a serious part in automatic fingerprint recognition system. It is an essential select the suitable improvement approaches for fingerprint, in order to reduce the processing part of the fingerprint recognition system. Various methods of improvement fingerprint images described based upon non-stationary directional Fourier domain filtering. Fingerprints are first curved...

The robustness of a fingerprint authentication system depend on the quality of the binarized fingerprint image. Since the uniqueness of a fingerprint image is determined by the minutiae points which are extracted from a binarized fingerprint image. A very robust binarization process is therefore essential to get the correct set of minutiae points. Thresholding is an effective tool for binarizat...

This paper presents fingerprint indexing based on graph information of minutiae, fingerprint classification and verification based on hierarchical agglomerative clustering technique. The proposed fingerprint indexing is invariant under translation and rotation. Its performance is evaluated in terms of several real-life datasets. The fingerprint database is clustered into five classes based on t...

The common positioning of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control submissions has sensitive the need for safeguarding that these systems are not compromised. Whereas numerous problems associated to fingerprint system safekeeping have been considered, including the use of phony fingerprints for masquerading personality, the problem of fingerprint...

We show that minutiae information can reveal substantial details such as the orientation field and the class of the associated fingerprint that can potentially be used to reconstruct the original fingerprint image. The proposed technique utilizes minutiae triplet information to estimate the orientation map of the parent fingerprint. The estimated orientation map is observed to be remarkably con...

Fingerprint recognition with identical twins is a challenging task due to the closest genetics-based relationship existing in the identical twins. Several pioneers have analyzed the similarity between twins' fingerprints. In this work we continue to investigate the topic of the similarity of identical twin fingerprints. Our study was tested based on a large identical twin fingerprint database t...

OF THESIS PERFORMANCE ANALYSIS OF 3-DIMENSIONAL FINGERPRINT SCAN SYSTEM Fingerprint recognition has been extensively applied in both forensic law enforcement and security involved personal identification. Traditional fingerprint acquisition is generally done in 2-D, with a typical automatic fingerprint identification system (AFIS) consisting of four modules: image acquisition, preprocessing, fe...

Fingerprint matching is the process used to determine whether two sets of fingerprint ridge detail come from the same finger. There exist multiple algorithms that do fingerprint matching in many different ways. Some methods involve matching minutiae points between the two images, while others look for similarities in the bigger structure of the fingerprint. In this project we propose a method f...

iometric identification techniques are applied to identify an individual on the basis of an individual’s characteristics (both physiological and behavioral). It is one of the most dependable and sensible approach to recognize an authorized person among several masquerades. The technology of biometric identification is applying in some specific regions to draw out furtive information such as fac...