The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
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...
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...
In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that covers a wide range of camera systems with data obtained in various conditions was built. This database contains palmprint images from 81 users acquired with 5 smartphones and is publicly...
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 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...
Identity management through biometrics provides huge advantage over traditional systems. This paper provides an extensive review of various biometrics technologies. A wide variety of biometric modalities like finger print, palm print, iris, facial features etc. are discussed in detail. Later these modalities are compared using various parameters. We have also discussed various multimodal biometric...
Nowadays research has explored to extracting auxiliary information from various biometrie techniques such as fingerprints, face, iris, palm, voice etc. This information contains some features like gender, age, beard, mustache, scars, height, hair, skin color, glasses, weight, facial marks, tattoos etc. All this information contributes more and more to identification. The major changes that come across...
The performance of a gait recognition system is very much related to the usage of efficient feature representation and recognition modules. The first extracts features from an input image sequence to represent a user's distinctive gait pattern. The recognition module then compares the features of a probe user with those registered in the gallery database. This paper presents a novel gait feature representation,...
Proper identification is important for providing secure facilities and services to user. Cloud computing is involved in our day to day life as it offers several services, storage spaces, applications etc. As the usage increases, vulnerability and security threats arose need to be studied and rectified. As a part of this, proper authentication need to be done before allowing file uploading to cloud...
Big data is an emerging technology that is becoming an essential part of national governance. Aadhaar is the unique identification scheme of India, handled by the Unique Identification Authority of India (UIDAI), which deals with big data. Every person above the age of 5 years has to register their demographic details (Name, Date of Birth, Address and Phone number) and biometric details (10 fingerprints...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.