Loading...
Search for: biometrics
0.036 seconds

    Human Identity Recognition Through Gait and Body Motions Analysis

    , M.Sc. Thesis Sharif University of Technology Jebraeeli, Vahid (Author) ; Ghaemmaghami, Shahrokh (Supervisor)
    Abstract
    Among all biometric approaches, gait analysis is one of the most practical methods for human identity recognition. Gait has a lot of advantages over other biometrics like face recognition, iris recognition, fingerprint, etc. First and foremost, the gait data can be collected from a distance, and there is no need for subject’s cooperation. Another advantage of this biometric method is its cost-effectiveness and the fact that it does not need high-resolution images. But there are significant challenges in detecting and analyzing this feature. One of the most important challenges is decreased recognition accuracy caused by identity-irrelevant factors like camera viewpoint and changes in walking... 

    Palm Vein Pattern Recognition using Deep Convolutional Neural Network (DCNN) with Gabor Filter

    , M.Sc. Thesis Sharif University of Technology Nazari Tavakoli, Amir Ali (Author) ; Motahari, Abolfazl (Supervisor) ; Peyvandi, Hossein (Supervisor)
    Abstract
    Frequently using Personal Identification Information has escalated the security concerns of bank accounts, emails, daily transactions, and other activities. Therefore, user access to such apps must be controlled. Traditional personal verification methods offer limited security because they might need to be remembered or stolen. Therefore, Biometric authentication, which identifies persons by their unique biological information, is gaining popularity. However, palm vein identification is highly secure because the vein patterns are not duplicated in other people, even in monozygotic twins. Moreover, it has a liveness detection and is convenient since the vein pattern cannot be faked,...