New Approach for Identity Verification System Using the Vital Features Based on Entropy
Many persons can easily access their information anytime and anywhere through its network society which spread in the world. On the other side, there is a very risk on this information, because of legitimate users and quacks, who are trying to seize the information. The passwords and numbers can be guessed or forgotten. Also, Personal Identification Numbers (4-digit PIN numbers) cards can be stolen. Biometric authentication technology used to solve these problems, it identifies people by their unique biological features. In this paper, the proposed approach consists of two main phases. First phase, we will construct a biometric authentication technique. To increase the accuracy factor of security recognition in this system, the features of palm veins is used. We use in the proposed approach, the properties of the types of entropy such as Shannon and Renyi entropies in second phase, to achieve the desired goals of the research. Hence, expected that the proposed approach can give new and useful ways to identity verification. In addition to increase the accuracy factor of security recognition. We will provide experimental results of the proposed technique and compared the results against some leading verification methods to illustrate the quality and flexibility of it.
Keywords: identity verification system, vital features, entropy, factor of security recognition
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ABOUT THE AUTHORS
Mohamed A. El-Sayed
CS Dept, Computers and IT College, Taif University, KSA, Math department, Faculty of Science, Fayoum University, Egypt
S. F.Bahgat
CE Dept, Computers and IT College, Taif University, KSA Faculty of CIS, Ain Shams University, Egypt
S. Abdel-Khalek
Math Dept, Faculty of Science, Taif University, KSA Math Dept, Faculty of Science, Azhar University, Egypt
Mohamed A. El-Sayed
CS Dept, Computers and IT College, Taif University, KSA, Math department, Faculty of Science, Fayoum University, Egypt
S. F.Bahgat
CE Dept, Computers and IT College, Taif University, KSA Faculty of CIS, Ain Shams University, Egypt
S. Abdel-Khalek
Math Dept, Faculty of Science, Taif University, KSA Math Dept, Faculty of Science, Azhar University, Egypt
