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This paper investigates vulnerability of the dorsal hand-vein biometric systems to display based presentation attacks. The database collected for our experiments consists of624 real and 312 spoof images from left and right hands of 52 subjects, of which 32 are males and 20 are females. In order to assess the vulnerability of the system, we have created artefacts in a more realistic scenario assuming...
Quality of an image plays a fundamental role in taking vital decisions. In various walks of life, one such decision is personal identification. Hence, it's assessment is essential prior to using it in many biometric applications such as face recognition, iris, fingerprint analysis etc. The proposed technique classifies images into four classes based on their illumination and contrast quality. Then,...
While dashcam videos (DCVs) are used to document unanticipated situations such as accidents, they are often used to create a training set for vehicle detection and vehicle behavior modeling. This requires a substantial volume of stored DCVs. In this paper, we propose a system that effectively compresses these DCVs by taking advantage of existing historical data. First, our video retrieval and alignment...
Applications using face biometric are ubiquitous in various domains. We propose an efficient method using Discrete Wavelet Transform (DWT), Extended Directional Binary codes (EDBC), three matrix decompositions and Singular Value Decomposition (SVD) for face recognition. The combined effect of Schur, Hessenberg and QR matrix decompositions are utilized with existing algorithm. The discrimination power...
This paper focuses on smartphone based palmprint authentication. Various challenges in unconstrained acquisition and processing such as segmentation of palm images in a wide variety of backgrounds and illumination conditions are addressed. The main contribution of the paper is to eliminate the illumination using local illumination normalization algorithm.
This paper presents the design of a smart household environment illumination dimming-control. The control can be operated using either an Android App or a computer using either Wi-Fi or Zigbee to connect to a Database Management System (DBMS). The DBMS can synchronize with a central controller in order to achieve simple and convenient dimming-control of the user's home illumination. In this paper,...
Vision-based video surveillance systems have gained increasing popularity. However, their functionality is substantially limited under nighttime conditions due to the poor visibility caused by improper illumination. Equipped on night vision cameras, ordinary infrared (IR) illuminators of fixed-intensity usually lead to the imaging problem of overexposure (or underexposure) when the object is too close...
Profiling Online Social Network (OSN) Users by matching their Profile Pictures in Multi-Social Networking requires their own frontal face images in consideration. Present State-of-the-Art algorithms are ineffective in detecting mouth and nose on the face, making it inefficient to be used in matching different faces by localizing their facial features. This work proposes a novel approach to improve...
Recognizing faces in presence of illuminations, pose, facial expression variations in controlled as well as uncontrolled environments remains one of the most challenging aspect. In this paper, we propose a novel recognition methodology which deals with challenges of face recognition to obtain robust and efficient recognition. The framework is based on extracting discriminant statistical features from...
In recent years considerable progress has been made in the area of face recognition. Through the work of computer science engineers, computers can now outperform humans in many face recognition tasks, particularly those in which large databases of faces must be searched. A system with the ability to detect and recognize faces has many potential applications including crowd and airport surveillance,...
With the increasing importance of high dynamic range (HDR) imaging and low availability of HDR displays, the need for efficient tone mapping techniques is very crucial. However the tone mapping operators tend to introduce distortions in the HDR images, thus making it visually unpleasant in normal displays. Subjective evaluation of images is important for rating the tone mapping operators as the users...
Face recognition at a distance is still a challenging problem due to the low resolution face images resulting from the remote distance. To motivate researches on the problem and make up for the shortage of existing databases, we introduce MDCI database in this paper. The database contains 677 videos and 9734 pictures from 155 subjects captured by five different cameras, at four kinds of distances...
Local ternary pattern (LTP) is a noise-robust version of local binary pattern (LBP). They are both encoding for the differences between the intensity of the center pixel and its neighborhoods. In this paper, based on Webers law we propose two new local descriptors, named Weber binary pattern (WBP) and Weber ternary pattern (WTP), which utilize binary and ternary encoding separately for the evaluation...
By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints. In order to do so we picked up a problem of FAST and defined a condition for similar points. This...
Local ordinal signal relations, such as local binary or ternary patterns (LBP/LTPs) are invariant to frequent in practice spatially variant contrast/offset deviations that preserve image appearance. Our prior work extended this conventional LBP/LTP-based classifiers towards learning, rather than pre-scribing characteristic shapes, sizes, and numbers of such patterns. The learned LTPs showed more accurate...
Questionnaires are widely used for investigation and statistical analysis. However, paper-based questionnaires require great human resources to count the statistical results or enter data into database, which are time consuming. A system capable of recognizing results of questionnaires will be very useful in many aspects. In this paper, we develop a fast and robust digital recognition system for questionnaire...
Recently, nuclear norm based matrix regression (NMR) for classification has been proposed to characterize the whole structure of the error image. However, NMR ignores both the label information and the group structure of training samples. This paper presents a novel yet effective coding scheme called locality-constrained group sparse coding regularized NMR (LGNMR) which not only overcomes these limitations...
Identifying subjects with variations caused by poses is one of the most challenging problems in face recognition, essentially, a misalignment problem. In this paper, we propose a simple, practical but effective continuous pose normalization method to handle pose variations. First, 2D-3D correspondence is constructed based on five facial landmarks of query image. A single reference 3D mesh is projected...
The paper proposes a novel face recognition technique based on discrete Contourlet Transform (CT). CT represents smooth contour information in different directions and so relevant to recognize individuals more accurately. Each face image is decomposed up to fourth level in transformed domain using Contourlet Transform and coefficients are analyzed to obtain statistical features. For classification...
This paper presents a new method for 3D face pose tracking in arbitrary illumination change conditions using color image and depth data acquired by RGB-D cameras (e.g., Microsoft Kinect, Asus Xtion Pro Live, etc.). The method is based on an optimization process of an objective function combining photometric and geometric energy. The geometric energy is computed from depth data while the photometric...
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