This paper is published in Volume-8, Issue-1, 2022
Area
Electronics & Telecommunication
Author
Priya T. Bendarkar
Org/Univ
Padmashri Dr. V.B. Kolte College of Engineering, Buldhana, Maharashtra, India
Pub. Date
04 January, 2022
Paper ID
V8I1-1148
Publisher
Keywords
Finger Dorsal Biometrics, Knuckle Segmentation, Finger Knuckle Biometrics, Major Finger Knuckle, Finger Knuckle, Biometrics Fusion

Citationsacebook

IEEE
Priya T. Bendarkar. Finger dorsal pattern, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Priya T. Bendarkar (2022). Finger dorsal pattern. International Journal of Advance Research, Ideas and Innovations in Technology, 8(1) www.IJARIIT.com.

MLA
Priya T. Bendarkar. "Finger dorsal pattern." International Journal of Advance Research, Ideas and Innovations in Technology 8.1 (2022). www.IJARIIT.com.

Abstract

This paper investigates a new approach for personal authentication using finger dorsal pattern imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy of such a system. The finger-back surface images from each user are normalized to minimize the scale, translation, and rotational variations in the knuckle images. This paper details the development of such an approach using peg-free imaging. The experimental results from the proposed approach are promising and confirm the usefulness of such an approach for personal authentication.
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