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Local Binary Pattern (LBP) has been widely used for analyzing local texture features of an image. Several new extensions of LBP based texture descriptors have been proposed, focusing on improving the robustness to noise by using different encoding or thresholding schemes where the most widely known are Median Binary Patterns (MBP), Fuzzy LBP (FLBP), Local Quantized Patterns (LQP), and Shift LBP (SLBP)...
The theme of work presented in this paper is a novel Iris recognition technique using partial energies of transformed iris image. To generate transformed iris images, various transforms like Cosine, Walsh, Haar, Kekre, Hartley transforms and their wavelet transforms are applied on the iris images. Feature vectors are then generated from these transformed Iris images using the concept of energy compaction...
In different color spaces, the three color channels might have different relationship, but most of color face recognition methods exploit the color information in a simple way. In this paper, we propose a novel hybrid fusion scheme for color face recognition, which first uses two-phase test sample representation (TPTSR) to obtain matching scores of each color channel of the test sample and then uses...
During the last decades, several different techniques have been proposed for computer recognition of human faces. A further step in the development of these biometrics is to implement them in portable devices, such as mobile phones. Due to this devices' features and limitations it is necessary to select, among the currently available algorithms, the one with the best performance in terms of algorithm...
The goal of this work is the identification of humans based on motion data in the form of natural hand gestures. The identification problem is formulated as classification with classes corresponding to persons' identities, based on recorded signals of performed gestures. The identification performance is examined with a database of twenty-two natural hand gestures recorded with two types of hardware...
This paper presents a multimodal biometric system for authentication, based on the fusion of iris and palmprint. We propose an approach for feature extraction of each modality by using wavelet packet decomposition at four levels. This gives 256 packets which can generate a compact binary code. It is obtained from the first three highest energy peaks to compute an adapted threshold that enable to affect...
The use of user identification technology has become increasingly in demand in today's society. Biometrics have been capitalized upon for this purpose. The human iris in particular is one of the most unique and intriguing biometrics available to use in the identification of an individual. The process of recognizing a human iris is split into four major steps. These steps are segmentation, normalization,...
Biometrics technology has been attracting extensive attention due to the ever growing demand on access control, public security, forensics and e-banking. With the fast development of biometric data acquisition sensors and data processing algorithms, diverse biometric systems have been now widely used in various applications. Among these biometric technologies, the hand-based biometrics is most popular...
Several studies for palmprint-based personal identification have focused on improving the performance of palmprint images captured under visible light. However, during the past few years, some researchers have considered multispectral images to improve the effect of these systems. Compared with color images, multispectral images provide additional information due to its variety of spectral bands....
Paper presents performance comparison of palm print identification techniques based on fractional coefficients of transformed palm print edge image using three transforms namely Cosine., Haar and Kekre. In transform domain., the energy of image gets concentrated towards low frequency region; this characteristic of image transforms is used here to reduce the feature vector size of palm print images...
A new approach for static signature verification is presented in this paper. The approach uses optical flow to estimate local stability among signatures. In the enrollment stage, optical flow is used to define a stability model of the genuine signatures for each signer. In the verification stage, the stability between the unknown signature and each one of the reference signatures is estimated and...
Automatic personal identification is playing an important role in security systems. Biometrics technologies has been emerging as a new and effective methods to achieve accurate and reliable identification results. A number of biometric traits exist and are in use in various applications. Palmprint is one of the relatively new biometrics due to its stable and unique characteristics. In this paper,...
The development of a fully automatic facial expression recognition system is an open problem. Its implications are very important, with applications ranging from machine intelligence and interaction to psychology research. In order to obtain a viable system, it is necessary to get valid parameters to characterize the facial expression in an image or a video sequence. Several different techniques have...
The multimodal biometric systems are gaining popularity because of accurate and reliable identification of the person. In this paper, we present a novel weighting scheme using variants of Particle Swarm Optimization (PSO) for efficient feature level fusion of face and palmprint. The face and palmprint images are represented using Log Gabor features which are then concatenated to form a fused feature...
In biometric systems, people may be asked to provide multiple scans for redundancy and quality control. In the case of fingerprint matching systems, repeat fingerprint probes of the same physical finger can be available and data from such multiple samples can be fused for reliable authentication of individuals. Since multiple samples are from the same instance of the finger, some relationships between...
The human tongue promises to deliver a level of uniqueness to identification applications that other biometrics cannot match in context of that it is well protected in mouth and is difficult to forge. the tongue also presents both geometric shape information and physiological texture information which are potentially useful in identity verification applications like banking system, airport security,...
Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. In the recent years, hand based biometrics is extensively used for personal recognition. In this paper a new biometric system based on texture of the hand knuckles, namely Finger-Knuckle-Print (FKP), is proposed. To extract...
In this paper we propose a novel approach to palmprint recognition based on local Haralick features. These features are calculated from the grey-level co-occurrence matrices created on the d × d pixels subimages of the D × D pixels palmprint region of interest (ROI); d < D defined by overlapping sliding-windows. The biometric template for a person consists of N m-component feature vectors, where...
Biometric identification systems rely on various features for identification. Visual mouth dynamics can aid speaker recognition where the audio modality is missing or of degraded quality. This paper proposes a method of reducing the visual feature set used in a speaker-recognition system. Geometric features extracted from the lip contour are reduced using the Minimum Redundancy Maximum Relevance (MRMR)...
Most of the biometric research being done is for adults and the identification accuracy of newborn are least reported in the literatures. In this paper we propose a novel biometric identification method for newborn babies using their face and soft biometrics. Accurate patient identification (ID) is essential for patient safety, especially with our smallest and most vulnerable pediatric patients. The...
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