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About some years ago, several biometric technologies are considered mature enough to be a new tool for security and ear-based person identification is one of these technologies. This technology provides a reliable, low cost and user-friendly viable solution for a range of access control applications. In this paper, we propose an efficient online personal identification system based on ear images....
Personal identification and verification are playing more and more important role in the society. Traditional authentication method such as password and smart card, often cannot meet today's security as they can be easily forgotten, lost or stolen. Biometric technology has appeared as a new solution to these problem. Among all the variable biometric technologies, automatic palmprint verification is...
Automatic personal identification is becoming an increasingly important requirement in a variety of applications like access control, surveillance systems and physical buildings. In recent years, biometric systems are used in these fields, offering greater convenience and several advantages over traditional security. In this paper, we propose an efficient online personal identification system based...
The use of biometric technologies becomes ubiquitous in modern society due to the proliferating number of crimes and terror attacks as well as the vital need to provide safer environment. Gait biometrics is considered one of the emerging key research areas due to its potential use in a plethora of applications such as forensics and visual surveillance. As the evaluation of biometric-based evidence...
The popular Local binary patterns (LBP) have been highly successful in describing and recognizing faces. However, the original LBP has several limitations which must to be optimized in order to improve its performances to make it suitable for the needs of different types of problems. In this paper, we investigate a new local texture descriptor for automated human identification using 2D facial imaging,...
This paper presents a novel palmprint recognition scheme which utilizes directional representation of Anisotropic Filters (AFs) optimally followed by Local Binary Pattern (LBP) called Optimal Local direction Binary patterns (OLdirBP). Optimal orientation image from different orientation can be excavated by opting orientation corresponding to maximum of summed value of convoluted responses between...
Newborn swapping, missing, mixing, and illegal adoption is a global challenge and to resolve this emerging issue very less research has been done. Most of the biometric systems are developed for adults and extremely few of them address the difficulty of newborn recognition. As they are the highly non cooperative users of biometrics the ear of newborn may be a perfect source of data for passive identification...
This study aims at designing and developing an electronic system that depends on the Audio Fingerprint to access the learning management system (Blackboard) by students of King Khalid University, as a complement to the current system based on username and password only. [1]
Automated border control (ABC) systems have been proposed as the best option to satisfy the actual needs that airport security has to face nowadays and in the next years. These needs are demanded by the rapid flow growth. High efficient biometric recognition systems using face, iris or fingerprint modalities placed inside the gates at airports entry points should cope with the problems caused by this...
Periocular refers to the facial region in the eye vicinity. It can be easily obtained with existing face and iris setups, and it appears in iris images, so its fusion with the iris texture has a potential to improve the overall recognition. It is also suggested that iris is more suited to near-infrared (NIR) illu- mination, whereas the periocular modality is best for visible (VW) illumination. Here,...
Nowadays forensic document examiners (FDE) have to analyse more and more signatures captured by digital devices. While they can still use the static image of the signature, it has been proven that the dynamic information contains very discriminative information. This paper is focused on dynamic signature recognition applied to forensic scenarios. An automatic featured-based or global recognition system...
This paper describes the design, acquisition process and a baseline evaluation of e-BioSign, a new database of dynamic signature and handwriting. e-BioSign is comprised of 5 devices in total, threeWacom devices (DTU-500, DTU-530 and STU 1031) specifically designed to capture dynamic signatures and handwriting, and two Samsung general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV). For...
Human Gait Recognition is typically alluded to imply the human ID by the style/way individuals stroll in picture sequences. Our point is to execute the customary gait recognition calculation and to demonstrate the variety in recognition when subject is watched parallel to camera under three conditions-walking slow, at typical speed and walking quickly. For this situation, the work devises a novel...
Fingerprint authentication is one of the most reliable and widely used personal identification method. However, manual fingerprint authentication is tedious, inaccurate, time-consuming and costly that it is not capable of meeting today's increasing performance necessities. An automatic fingerprint authentication system (AFAS) is widely needed. It plays a very essential role in forensic and civilian...
Person identification and recognition using fingerprints as a biometric authentication is one of the unique, prominent and reliable method of verification processes. The paper presents fingerprint authentication system using filter bank based matching algorithm. The algorithm uses Gabor filter bank to extract features of fingerprints. These features are then compared for identification and recognition...
Several recent advancement in field of technology has created a various range of systems or applications that requires reliable and efficient recognition schemes which can determine the identity of the users and only authorized and legitimate persons are allowed to use the service or applications. Signature Verification is the most widely used biometrics for authentication purpose. It is a method...
There are many applications in which morphological operations play an important role. Morphology is a very useful mathematical tool or method to be used in image processing. It has many application like edge detection and extraction form images for specific purpose, feature extraction based on the boundary information etc. It has many advantages over other image processing tools like the complete...
Advancement in electronics industry and revolution in information technology sector has lead authentication and recognition to be the important aspect in today's life. Authentication and recognition can be achieved using biometric cues which provide secure and reliable alternative to traditional methods of human identification. Human iris is most reliable biometric because of its uniqueness, stability...
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...
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