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This paper investigates some promising approaches for the automated personal identification using contactless palmvein imaging. We firstly present two new palmvein representations, using Hessian phase information from the enhanced vascular patterns in the normalized images and secondly from the orientation encoding of palmvein line-like patterns using localized Radon transform. The comparison and...
In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint prior. In addition, vein images are characterized...
This paper proposes an innovative contactless palm print and knuckle print recognition system. We present a novel palm print and knuckle print tracking approach to automatically detect and capture these features from low resolution video stream. No constraint is imposed and the subject can place his/her hand naturally on top of the sensor without touching any device. Besides, we introduce a simple...
Wavelets are widely used to extract the texture features for pattern recognition applications including biometric authentication. This can be attributed to the discriminating capability of wavelet features and the availability of fast algorithms for implementing discrete wavelet transform (DWT). In most of the wavelet based palmprint applications, distribution of energies in space-frequency domain...
Some types of biometric patterns can be represented as a collection of variable-length interconnected lines. This is the case of handwriting signature strokes, palmprint lines or infrared hand vein data. Typical variations in size, shape and orientation of these patterns for the same person make difficult to develop reliable biometric verification systems for them. Fuzzy snakes have been successfully...
Dorsal hand vein pattern is a promising biometric which is attracting the attention of researchers, of late, to provide more secure identification system. Different approaches have been developed to extract the vein pattern. However, there is a need to find more efficient methods which can reduce matching time. In this work, principle component analysis (PCA), which is a successful method applied...
Biometric identification, or biometrics, refers to identifying an individual based on his or her distinguishing characteristics. More precisely, biometrics is the science of identifying, or verifying the identity of, a person based on physiological or behavioral characteristics. Retinal Recognition (RR) seeks to identify a person by comparing images of the blood vessels in the back of the eye, the...
This paper presented a new gait identification and authentication method based on Haar wavelet and Radon transform. This method consists of two stages, gait modeling and recognition. In the first stage, images extracted from video sequences are pre-processed into binary silhouette. In terms of gait cycle, they are divided into 4 states, in each of which the distinct images are selected. The horizontal...
Ear biometric is considered as one of the most reliable and invariant biometrics characteristics in line with iris and fingerprint characteristics. In many cases, ear biometrics can be compared with face biometrics regarding many physiological and texture characteristics. In this paper, a robust and efficient ear recognition system is presented, which uses Scale Invariant Feature Transform (SIFT)...
Recently, vein pattern biometrics has attracted increasing interest from both research and industrial communities. The properties of uniqueness, stability and strong immunity to forgery of the vein patterns would make a potentially good biometric trait offer secure and reliable features for person identity verification. In this paper, a novel approach for personal verification by analyzing the face...
A wide variety of system requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else. Palmprint image of a person is considered for identifying an individual uniquely. Palmprint identification involves...
As a new branch of biometrics, palmprint authentication has attracted increasing amount of attention because palmprints are abundant of line features so that low resolution images can be used. In this paper, we present two novel approaches for palmprints authentication. Firstly, we employ the SIFT (scale invariant feature transformation) for palmprint authentication. Point-wise matching is used to...
Coding-based method, which encodes the responses of a bank of filters into bitwise features, has been very successful in palmprint representation and matching. Palmprints, however, are typically multiscale features, where the palm lines can be represented at a higher scale while the wrinkles at a lower scale. In this work, we present a mutliscale competitive code method for efficient palmprint representation...
Coding based methods are among the most promising palmprint recognition methods. As one representative coding method, the competitive code first convolves the palmprint image with a bank of Gabor filters with different orientations and then encodes the dominant orientation into its bitwise representation. Despite its effectiveness, few investigations have been given to study the influence of the number...
Face recognition is nowadays one of the most challenging biometric modalities for the identification of individuals. In the last two decades several experimental as well as commercial systems have been developed exploiting different physical properties of the face image. Either being based on processing 2D or 3D information all these methods perform a face classification of the individuals based on...
We propose in this paper a search approach which aim to improve identification in biometric databases. We work with face images and we develop appearance-based Eigenfaces and Fisherfaces methods to generate holistic and discriminant features and attributes. These features, which describe faces, are often used to establish the required identity in a classical identification process. In this work we...
A new gait method using the periodic sequence width images and kernel based Fisher discriminant analysis is proposed. The gait pattern is described by the periodic sequence width images. It exacts from the width temporal image generated by calculating the width vector sequences and representing the width value in grey level. The periodic sequence width images capture both the shape structure information...
The issue of how to represent the palm features for effective classification is still an open problem. In this paper, we propose a novel palm representation, the "junction points" (JP) set, which is formed by the two set of line segments extracted from the registered palmprint and palm vein images respectively. Unlike the existing approaches, the JP set, containing position and orientation...
A novel efficient palmprint recognition method called contourlets-based local fractal dimensions (CLFD) is represented in this paper. The novelty of CLFD comes from using fractal dimension independent of fractal coding for palmprint image representation. Three main steps are involved in the proposed CLFD: (i) Contourlets subbands are extracted by the convolution of contourlet bank and the original...
This paper makes an attempt to analyze the local feature structure of iris texture information based on the barycenter distance of new non-separable wavelet. When preprocessed, the annular iris is normalized into a rectangular block. Several non-separable wavelet filters are used to capture the iris texture. In every filtered subband coefficients, we extract a certain number of largest positive coefficients...
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