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When extracting discriminative features from multi-modal data, current methods rarely concern the data distribution. In this paper, we present an assumption that is consistent with the viewpoint of discrimination, that is, a person's overall biometric data should be regarded as one class in the input space, and his different biometric data can form different Gaussians distributions, i.e., different...
This paper investigates palmprint recognition using Principal Component Analysis (PCA) and the Adaptive Principal component EXtraction (APEX) which is one of the PCA techniques involving neural network. Through implementing the PCA and APEX algorithms for extracting features and applying them to palmprint recognition with two classifiers, Euclidean distance and Hamming distance, it was made known...
Palmprint image has been widely used in personal recognition system, and various techniques have been proposed to improve its performance. It is known that the recognition accuracy depends on the location effect to a great extent. In this paper, we proposed a new method in locating the central block of palmprint image, which makes use of the distance between corner points and contour centroid. This...
This paper presents a novel technique to identify palmprints of individuals for various purposes including security, access control, forensic applications, identification, etc. Palmprints, known to be more robust as biometrics are being increasingly used in these areas. In this paper the identification of the palmprint of an individual has been done using a transform domain technique where a new transform...
Biometrics applied to mobile devices are of great interest for security applications. Daily scenarios can benefit of a combination of both the most secure systems and most simple and extended devices. This document presents a hand biometric system oriented to mobile devices, proposing a non-intrusive, contact-less acquisition process where final users should take a picture of their hand in free-space...
Robust alignment point detection is still a challenging problem in fingerprint recognition, especially for arch type fingerprints. Proposed in this paper is a method of detecting a pixel-level alignment point from mated fingerprints regardless of the type based on pixel-level orientation field. Given a fingerprint, firstly, pixel-level orientation field is computed using multi-scale Gaussian filtering...
In a biometric template protected authentication system, a pseudonymous identifier is the part of a protected biometric template that can be compared directly against other pseudonymous identifiers. Each compared pair of pseudonymous identifiers results in a verification decision testing whether both attributes are derived from the same individual. Compared to an unprotected system, most existing...
Due to the growing use of biometric technologies in our modern society, spoofing attacks are becoming a serious concern. Many solutions have been proposed to detect the use of fake "fingerprints" on an acquisition device. In this paper, we propose to take advantage of intrinsic features of friction ridge skin: pores. The aim of this study is to investigate the potential of using pores to...
Fingerprint verification has become one of the most active research areas nowadays. A key component of an accurate fingerprint verification system is the fingerprint matching algorithm. An accurate matching algorithm uses a robust fingerprint representation. In this paper, we introduce m-triplets, a new minutiae triplet representation and similarity for fingerprint verification. The proposed similarity...
The impact of force on acquiring a high quality fingerprint image has been systematically studied by researchers using single print optical scanners. A previous study examined force levels that ranged from 3N to 21N using a single print optical sensor. A second experiment used force levels ranging from 3N to 11N using a capacitive and optical single print sensor. Additional work has been conducted...
In this paper, we propose Band-Limited minimum average correlation energy filter and unconstrained minimum average correlation energy filter for palmprint recognition, in which the high frequency components are removed and only the inherent frequency band is adopted for filter design. The results of experiments conducted on Hong Kong Polytechnic University Palmprint Database show that the proposed...
This paper proposes a novel multimodal biometric system based on multiple hand features, i.e. palmprint, palm vein, palm dorsal vein, finger vein and hand geometry. In this system, the palmprint, palm vein and dorsal vein images are firstly captured using an integrated contactless acquisition device. And then these images are preprocessed and split into six regions of interest (ROIs), that is, one...
In this paper, we propose a PCA-based spectral band compression and multispectral palmprint recognition method. This method first exploits PCA to compress original multispectral bands to a smaller number of 'bands' and then uses the compressed bands to classify palmprint images. The experimental results show that our proposed PCA-based spectral band compression and recognition method can use very...
A palmprint identification system recognizes a query palmprint image by searching for its nearest neighbor from among all the templates in a database. When applied on a large-scale identification system, it is often necessary to speed up the nearest-neighbor searching process. In this paper, by viewing the palmprint feature as a high-dimension binary vector, we present a palmprint identification method...
The article proposes a new approach to hand shape recognition that allows comparison of hands with separated fingers as well as with touching fingers. The idea is to construct a flexible hand model from the set of hand images in different poses. This model allows us to simulate different hand transformations (for example, rotations of fingers) and analyze hand shape after them. Person recognition...
The main hand-shape features constantly used for identification are more than 10 kinds. The effects of the recognition performance are different for each feature. When few features with better specificity were selected for identification, the recognition accuracy could be close to that used all of the features. Meanwhile, the operation time and computing space could be reduced effectively. Thus, the...
Abstract-In this paper, authors analyze the parameters of a vein pattern recognition system designed before and introduce some changes to improve the results obtained. This system is designed to be used with the user's hand or wrist, and the feature extraction is based on a minutiae extraction approach. The system has been tested with two different databases: one database acquired by authors (UC3M)...
Recently, finger-vein recognition has been studied extensively for personal identification. Since veins exist inside the finger, the finger-vein images are often not in high quality due to light scattering and absorption of the skin tissue. According to the optical properties of the biological tissues, the multilayered human skin is a kind of inhomogeneous medium, and different skin layers hold different...
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