This paper is published in Volume-3, Issue-2, 2017
Area
Computer Science
Author
M. Suganya, Dr. S. Suganya
Org/Univ
RVS College of Arts and Science, Sulur, Tamil Nadu, India
Pub. Date
26 April, 2017
Paper ID
V3I2-1530
Publisher
Keywords
De-Identification, Privacy, Palm Vein Authentication, Visual Cryptography.

Citationsacebook

IEEE
M. Suganya, Dr. S. Suganya. An Innovation in Palm Vein Authentication for Biometric Privacy Preservation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
M. Suganya, Dr. S. Suganya (2017). An Innovation in Palm Vein Authentication for Biometric Privacy Preservation. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
M. Suganya, Dr. S. Suganya. "An Innovation in Palm Vein Authentication for Biometric Privacy Preservation." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

In real-time security applications, the image processing, and computer vision plays a major part in determining the whole operation. The main advantages of biometric privacy are, to keep the information safe and secure, and access the information from anywhere at any time. In some traditional cases, the security systems are processed by passwords, personal identification numbers, and identification cards. In these cases, several problems occur due to the card was stolen and password hacking. Hence, to avoid such limitations it is necessary to implement the digital biometric data units in terms of face, iris, palm, fingerprints and voice. Among these data, the palm is considered in this work to explore the possibility of cryptography. Initially, the palm images are selected and stored in the database to cross-check the identity of private images which is considered as input, then the enrollment is made by comparing the public host images. The image is authenticated with the help of database with images. Finally, the decision is taken by matching the originally targeted palm image.
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