نتایج جستجو برای: biometric recognition
تعداد نتایج: 258009 فیلتر نتایج به سال:
Nowadays the question of identifying a person assumes a major role in many applications. To circumvent the limitations of traditional identity recognition mechanisms (e.g., passwords or ID cards), modern security control procedures often exploit people biometrics. This paper proposes a multimodal biometric system for personal recognition, based on three different biometrics computed from the sa...
A Biometric system is essentially a pattern recognition system that makes use of biometric traits to recognize individuals. Systems which are built upon multiple sources of information for establishing identity which are known as multimodal biometric systems can overcome some of the limitations like noisy captured data, intra class variations etc... In this paper a Bi modal biometric system of ...
Face recognition frameworks are a part of facial image processing applications. [1] It has been a active research topic in the last two decades and its methods are presently sent in access control frameworks. It is the most common method for biometric distinguishing proof and has the advantage of non intrusiveness over the other biometric strategies, for example, irises and fingerprints. So the...
One way to increase security of biometric templates in the field of biometric security is the technique of cancelable biometrics. In the case of iris recognition, such templates are the iris patterns of eyes. In this work we used parameterized wavelets and wavelet packets to realize the concept of cancelable biometrics for iris recognition algorithms which use wavelets in the feature extraction...
Authentication is a key challenge to ascertain effectively, in present era. Many techniques have been introduced so far, but most of them fail due to certain shortcomings. Face recognition has bloomed as robust face recognition based technique among other biometric based authentication approaches. This paper aims at effectively recognizing a given face using eigenface and eigenvector method. Th...
Nowadays, person recognition has received significant attention due to broad applications in the security system. However, most systems are implemented based on unimodal biometrics such as face or voice recognition. Biometric that adopted have limitations, mainly when data contains outliers and corrupted datasets. Multimodal biometric grab researchers’ consideration their superiority, better th...
Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric sources and typically better recognition performance compare to system based on a single biometric modality. This paper proposes an authentication method for ...
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