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Fingerprint image synthesis has received considerable attention because of its potential use in generating large databases to evaluate the performance of fingerprint recognition systems. Existing fingerprint synthesis algorithms (e.g., SFinGe) focus on rendering realistic fingerprint images, but the features (e.g., minutiae) in these fingerprints are formed in an uncontrollable manner. However, generating...
Within the forensics community, there is a growing interest in automatic biometric-based approaches for describing subjects in an image. By labeling scars, marks and tattoos, a collection of these discriminative attributes can be assigned to images and used to assist in large-scale person search and identification. Typically, the imagery considered in a forensics context consists to some degree of...
This paper presents an objective evaluation of the effects of stimulus type and eye tracking specifications on the accuracy of biometric verification based on complex eye movement patterns (CEM). Five stimulus types (simple, complex, cognitive, random, textual), six spatial accuracy tiers (0.5°, 1.0°, 1.5°, 2.0°, 2.5°, 3.0°), and six temporal resolution tiers (1000 Hz, 500 Hz, 250 Hz, 120 Hz, 75 Hz,...
A less intrusive iris capturing system usually requires a long stand-off distance, large capture volume, and no restriction of a static subject. These factors make iris recognition more challenging than that from today's close-range iris systems. In this paper we propose a novel algorithm toward robust iris recognition in less intrusive environments. Our algorithm consists of two parts: 1) a novel...
Camera-based gait recognition is a useful method for authenticating a person from a distance, even if the resolution of the acquired images is not high. However, different views of the compared gallery and probe decrease the recognition accuracy. To solve this problem, we propose a gait based authentication method that uses an arbitrary view transformation scheme. The proposed method constructs a...
Biometric recognition based on the characteristics of human faces has attracted a great deal of attention over the past few years. However, the similarity in the facial appearance of identical twins has made the task difficult and has even compromised commercial face recognition systems. In this paper, we shed new light on the study of facial recognition of identical twins and propose a novel approach...
The first gait-based person-verification system that can analyze the gait for forensic science is presented. There are many security cameras set in many places, and gait image sequences can be extracted from the images taken by the cameras. The gait can provide information for identity determination in forensic science; however, the limitation of gait-based person authentication is that the analysis...
Face recognition that is robust to alterations applied on face via plastic surgery or prosthetic make-up can be still considered as a new topic. In this paper, a block based face analysis approach is proposed which provides a fairly good recognition performance together with the advantage of robustness to such kind of alterations. For this study, a simulated nose alteration face database is used which...
In this paper, we propose a novel approach using Kernel Class-dependent Feature Analysis (KCFA) combined with facial color based features to tackle the problem of ethnicity classification on large scale face databases. In our approach, a new design of multiple filtered responses of the Kernel Class-dependent Feature Analysis is used for ethnicity classes. In order to improve the robustness of our...
Fingerprint retrieval technique is necessary to reduce the search space in case of applications with huge size fingerprint database. A novel fingerprint retrieval approach based on minutiae triplets is proposed to speed up the fingerprint matching in this paper. The number of matched minutiae polygons can be derived from matching information of minutiae triplets to offer additional information to...
This research work proposes an innovative processing scheme for the exploitation of eye movement dynamics on the field of biometrical identification. As the mechanisms that derive eye movements highly depend on each person's idiosyncrasies, cues that reflect at a certain extent individual characteristics may be captured and subsequently deployed for the implementation of a robust identification system...
Establishing kinship using images can be utilized as context information in different applications including face recognition. However, the process of automatically detecting kinship in facial images is a challenging and relatively less explored task. The reason for this includes limited availability of datasets as well as the inherent variations amongst kins. This paper presents a kinship classification...
This paper addresses the problem of feature extraction from low-quality regions in fingerprint images. Features such as minutiae are difficult to detect automatically when high levels of noise are present, as in wet, dry, or latent prints. The approach presented here is a novel application of Bayesian filtering to the problem of ridge tracing. A friction ridge is followed by recursively estimating...
In this paper we propose a system exploiting polynomial classifiers, typically employed in identification scenarios, for the case of user verification based on on-line signature. In order to accomplish this task, a novel strategy for generating synthetic classes of signature features is proposed. The proposed system guarantees high verification performance while requiring low complexity and low storage...
In this paper, to characterize and distinguish identical twins, three popular texture descriptors: i.e. local binary patterns (LBPs), gabor filters (GFs) and local gabor binary patterns (LGBPs) are employed to encode the normal components (x, y and z) of the 3D facial surfaces of identical twins respectively. A group of facial normal descriptors are thus achieved, including Normal Local Binary Patterns...
In this paper, we present a fully automated approach for ear recognition based upon sparse representation. In sparse representation, features extracted from the training data of each subject are used to develop a dictionary. In this work, Gabor filters are used for feature extraction. Classification is performed by extracting features from the test data and using the dictionary for representing the...
Gabor features have been extensively used for facial image analysis due to their powerful representation capabilities. This paper focuses on selecting and combining multiple Gabor classifiers that are trained on, for example, different scales and local regions. The system exploits curvature Gabor features in addition to conventional Gabor features. Final classifier is obtained by combining selected...
Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting criminals by law enforcement agencies. However, compared to plain and rolled prints, latent fingerprints usually have poor quality of ridge impressions with small fingerprint area,...
Correction of uneven illumination in face images has been a task of intense research with its applicability being extensive. Most algorithms look to improve recognition accuracy failing to produce visually good results or viceversa. In this work, we present a data-driven illumination correction algorithm which simultaneously produces visually good results and improves recognition accuracy among faces...
Face-related biometrics research in recent years has moved from attempting merely to recognize faces, and even doing so under varying conditions, to considering a wide variety of aspects such as dynamics, gesture, aging, and expression. The state of an individual's face is a revealing indicator that may be used for soft biometrics, active authentication, deception detection, response feedback, and...
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