Fingerprint verification is an important biometric technology. In this paper, an improved fingerprint matching approach that uses weighting method and support vector machine (SVM) is presented. The traditional minutiae-based matching task is transformed to a classification task in the proposed approach using SVM. Furthermore, a new weight feature is introduced based on the distance between minu...

Fingerprint classification is a fundamental method for the identification of people. Fingerprint classification is based on the immutability and the individuality of fingerprint. Because of the large collections of fingerprints and recent advances in computer technology, there has been increasing interest in automatic classification of fingerprint. In this paper, an efficient method for fingerp...

Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint samples, there are only few benchmark databases available. Moreover, various types of fingerprints are required to measure how robust the system is in various environments. This paper presents a novel method that generates...

This paper introduces Transductive Support Vector Machine (TSVM) into fingerprint verification. An improved fingerprint matching approach using TSVM is presented. In the proposed approach, the traditional minutiae-based fingerprint matching task is transformed to a classification task using TSVM. The paper presents an analysis of why TSVM are well suited for fingerprint matching, especially for...

A novel fingerprint recognition algorithm suitable for poor quality fingerprint is proposed, and implementation considerations to realize fingerprint recognition access controllers for residential applications are discussed. It is shown that optimizing spatial sampling interval of fingerprint image has equivalent effect of optimizing high limit frequency of low-pass filter in the process of pha...

The reliability of Fingerprint recognition process in turn the Fingerprint Recognition system depends on the minutiae. Accurate minutiae depend on the quality of the fingerprint image. Most of the images are of poor quality. This leads to distorted levels of variation in grey-level values along the ridges and valleys. These variations are minimized by adapting normalization process, which has p...

A low complexity fingerprint verification scheme with ultra-compact hardware resources requirement is presented in the paper. Firstly, the fingerprint image is captured and performed noise canceling by a binary low-pass filter. Secondly, the displacement of the fingerprint pattern is estimated by means of directional image matching, and then circular profile features of the fingerprint are extr...

In biometrics, Fingerprint is widely used in identification of individual’s identity. Biometric recognition is leading technology for identification and security systems. Fingerprint has unique identification among all other biometric modalities. Use of the fingerprints as biometric characteristics is extensively used and developed for fingerprint recognition in forensic, civilian and commercia...

This paper is the implementation of fingerprint recognition system in which the matching is done using the Minutiae points. The methodology is the extracting & applying matching procedure on the Minutiae points between the sample fingerprint & fingerprint under question. The main functional blocks of this system follows steps of Image Thinning, Image Segmentation, Minutiae (feature) point Extra...

Combinatorial designs have been used to construct digital fingerprint codes. Here, a new constructive algorithm for an anticollusion fingerprint code based on group-divisible designs is presented. These codes are easy to construct and available for a large number of individuals, which is important from a business point of view. Group-divisible designs have not been used previously as a tool for...