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The automatic detection of person's identity is a very interesting issue both in social and industrial environments. In this paper a system for automatic face recognition from images of faces is presented. The proposed approach is based on an hybrid iconic approach, where a first recognition score is obtained by matching a person's face against an eigen-space obtained from an image ensemble of known...
Secure access control is a key issue in banking services. Magnetic cards and personal identification numbers, currently adopted for accessing automatic tellers, do not provide a sufficient degree of security and are likely a source for unauthorized operations. As far as the access to restricted areas is concerned, it usually requires direct surveillance by guards or indirect surveillance by a human...
The topic of this paper is to illustrate some experimental results on the acquisition of physical characteristics of real objects. These features have been extracted by observing the reactions to planned motor actions applied to the objects by a robot arm. A system architecture for visuo-motor cooperation is presented [1], based on the integration of sensory skills both as an aid to the manipulation...
With the increasing availability of low-cost 3D data acquisition devices, the use of 3D face data for the recognition of individuals is becoming more appealing and computationally feasible. This paper proposes a completely automatic algorithm for face registration and matching. The algorithm is based on the extraction of stable 3D facial features characterizing the face and the subsequent construction...
In recent years, the theories of Sparse Representation (SR) and Compressed Sensing (CS) have emerged as powerful tools for efficiently processing data in non-traditional ways. An area of promise for these theories is biométrie identification. In this paper, we review the role of sparse representation and CS for efficient biométrie identification. Algorithms to perform identification from face and...
This paper describes an improved version of the MCC fingerprint matching approach. An in-depth error analysis allowed us to point out the weakest points of the original MCC and to design: i) a more effective minutiae pair selection and ii) a more distortion-tolerant relaxation. The parameters of the new version have been tuned over a new larger dataset and the final algorithm has been evaluated on...
The problem of biometric menagerie, first pointed out by Doddington et al. (1998), is one that plagues all biometric systems. They observe that only a handful of clients (enrolled users in the gallery) actually contribute disproportionately to recognition errors. While prior literature attempting to reduce this effect focuses on either client-specific score normalization or client-specific decision...
Recent research in biometrics has suggested the existence of the "Biometric Menagerie" in which weak users contribute disproportionately to the error rate (FAR and FRR) of a biometric system. The aim of this work is to utilize this observation to design a multibiometric system where information is consolidated on a user-specific basis. To facilitate this, the users in a database are characterized...
Facial aging has been only partially studied in the past and mostly in a qualitative way. This paper presents a novel approach to the estimation of facial aging aimed to the quantitative evaluation of the changes in facial appearance over time. In particular, the changes both in face shape and texture, due to short-time aging, are considered. The developed framework exploits the concept of ldquodistinctivenessrdquo...
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. This paper presents a robust face recognition technique based on the extraction and matching of...
This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach of biometric image fusion at sensor level refers to a process that fuses multispectral images captured at different resolutions and by different biometric sensors to acquire richer and complementary information to produce...
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability and they do not have the same relevance for recognition. Therefore, selecting and decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. In forensic applications...
This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique...
Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is to expand the scope and utility of biometrics by discarding unwarranted assumptions regarding the completeness and quality of the data captured. Towards that end we propose a model-free and non-parametric component-based face...
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...
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determines the set of relevant events and objects to be analyzed. In this paper we concentrate on the analysis of outdoor scenes, in particular for vehicle traffic control. In this scenario, the analysis of weather conditions is...
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extracting independent feature pointsets from the two modalities, and making the two pointsets compatible for concatenation. Moreover, to handle the `problem of curse of dimensionality', the feature pointsets are properly reduced...
The distinction between holistic and analytical (or feature-based) approaches to face recognition is widely held to be an important dimension of face recognition research. Holistic techniques analyze the whole face in order to recognize a subject, whereas analytical methodologies are devoted to the processing of different local parts of the face. This paper proposes a principled experimental comparison...
This paper proposes a procedure for facial template synthesis based on features extracted from multiple facial instances with varying pose. The proposed system extracts the rotation, scale and translation invariant SIFT features, also having high discrimination ability, from the frontal and half left and right profiles of an individual face images. These affine invariant features obviate the need...
This paper presents a new face identification system based on graph matching technique on SIFT features extracted from face images. Although SIFT features have been successfully used for general object detection and recognition, only recently they were applied to face recognition. This paper further investigates the performance of identification techniques based on Graph matching topology drawn on...
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