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This work proposes a biometrie identification system based on electrocardiographic signal, for online applications. To acquire the signal, the NI MyDAQ and the AD8232 Heart Rate Monitor module were used. Once the signal was digitized, filtering was applied and algorithms to process the signal were designed to detect the fiducial markers of the signal, such as the R peak, the Q wave, the ending of...
Face recognition is considered as one of the relatively new and interesting concepts in the area of biometrics and comprises a huge number of applications. This study involves implementation of a robust recognition system by employing global and random local facial features of an individual. The proposed scheme considers the extraction of global facial features and some randomly selected local facial...
In this paper, we investigate a new method to analyze electrocardiogram (ECG) signal, extract the features, for the real time human identification using single lead human electrocardiogram. The proposed system extracts special parts of the ECG signal starting from the P wave, the QRS complex and ending with the T wave for that we used the multiresolution wavelet analysis. Different features are selected...
Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful characteristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition devices, which make it attractive for civil and commercial applications. Accordingly, a wide research has been developed in this field. Nevertheless, there...
Biometric R&D has to deal with personal data. From the Universal Declaration of Human Rights, privacy of a human being shall be protected, and this is addressed in different forms in each region of the world. In the case of the European Union, Data Protection Directives, Laws and Regulation have been established, and interpreted in different ways by each European Member State. Such a diversity...
In informational age there are many information crucial to a individual. To protect the data from the unwanted use we proposed the biometric system of vein recognition as today's world demand for a easy and accurate biometric system to protect our data. The biometric system is accurate and easy to use as every individual has a unique vein pattern. In this paper we have studied various method used...
Biometrics is an active research field that is increasingly being integrated into current technology. As a result, more and more people are becoming familiar with biometric technics such as fingerprint or facial recognition. Nevertheless, there are innovative techniques such as ear-based biometrics which are not very well known yet because they are at initial stages of research. In this work, an ear...
This contribution presents an evaluation on the performance of wearable gait recognition of individuals walking in groups. Three case scenarios are presented: Individual, when the user walks alone; Group, in which a group of users walk at the same time at a normal pace; and Formation, in which users walk in military formation. The evaluation was performed with the collaboration of the University Center...
Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional...
This paper describes a project concerning human recognition based on athlete numbers and their face detection. In daily life many people are training and participating in marathons, competitions or do sports like soccer. For that they wear t-shirts with a serial number that denotes their identity. For that detection of athlete numbers makes peoples life easier by collecting the data faster and automatically...
In this paper, a new approach for personal identity verification using finger knuckle images and least-square contour alignment method has been proposed. A special test rig with a digital camera was prepared for acquisition the knuckle images. Next, the obtained images of finger knuckle were subjected to image processing method in order to extract the knuckle furrows from them. The verification of...
This paper proposes an effective fusion scheme for extracting more discriminative information from bimodal biometrics at data, feature and decision levels. In all these three levels of fusion, information from both face andfingerprint image of a single subject are fused to effectively represent it in a more discriminative ways. For all these three approaches, a combination of wavelet and principal...
Fingerprints are one of the most popular biometrics traits. Feature extraction and vector creation are crucial in fingerprint-matching algorithms. For increasing the confidence of fingerprint recognition, different feature vector forms are considered in literature. In this paper, we introduce a complete (fully-implemented) algorithm for fingerprint recognition. The work describes image preprocessing...
Very few things in life are as certain as ageing. Although it is a definite and imminent process, it is neither uniform nor linear, and its pattern varies in different individuals. The pattern of facial ageing in each individual is linked with several intrinsic and extrinsic factors that may change the ageing pattern. Since sun exposure can be referred as the most important environmental factor influencing...
Age estimation has recently become increasingly important for a variety of reasons including security, gaming, healthcare, and biometry. In this paper, we are interested in age estimation for content filters which could limit access to age-inappropriate content. Considering that the auditory response to sound varies with age, we provide in this paper preliminary insights about age estimation through...
Security concerns increase as the technology for falsification advances and biometrics provides airtight security by identifying an individual based on the physiological and/or behavioral characteristics. Physiological hidden biometrics represented by ECG biomedical signal is highly confidential, sensitive, and hard to steal and replicate, and also hold great promise to provide a more secure biometric...
Nowadays, with the increasing use of biometric data, it is expected that systems work robustly and they can give successful results against difficult situations and forgery. In face recognition systems, variables such as direction of light, facial expression and reflection makes identification difficult. With biometric fusion, both safe and high performance results can be achieved. In this work, Eurocom...
The impressive amount of recent technological advancements in the area of information systems have brought along, besides the multitude of positive aspects, some negative aspects too. The most obvious one is represented by the fact that the technological innovations are prone to various categories of threats. Making sure that information stays safe, unaltered and secret is an integral part of providing...
The most emerging biometric technology used to ensure a reliable recognition rate is Multibiometrics. The unimodal recognition systems may lead to low recognition rate in real applications. To overcome this problem, we propose an approach for palmprint recognition based on local features. First, a palmprint image is divided into several sub-images, then the feature vectors are extracted from each...
Biometrie systems face several limitations like low accuracy, less robustness, low applicability and non-universality which can be minimized by the adoption of Fusion at different levels of Biometric systems. Fusion can be applied at sensor level, features level, score level as well as decision level. In this paper, we have compared the performance of a Face Recognition system without fusion and with...
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