This paper is published in Volume-2, Issue-4, 2016
Area
Computer Science and Engineering
Author
Sanjna Singla, Supreet Kaur
Org/Univ
Punjabi University Regional Centre for Information Technology and Management, Mohali, Punjab, India, India
Pub. Date
08 July, 2016
Paper ID
V2I4-1138
Publisher
Keywords
Matching, Biometrics, Knuckles, Accuracy.

Citationsacebook

IEEE
Sanjna Singla, Supreet Kaur. Study of Different Techniques for Human Identification using Finger Knuckle Approach, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sanjna Singla, Supreet Kaur (2016). Study of Different Techniques for Human Identification using Finger Knuckle Approach. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARIIT.com.

MLA
Sanjna Singla, Supreet Kaur. "Study of Different Techniques for Human Identification using Finger Knuckle Approach." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2016). www.IJARIIT.com.

Abstract

There are different biometric modalities used to identify person which includes palmprint, face, fingerprint, iris and hand geometry. Apart from these biometric modalities, finger knuckle print also used as one of the cost effective biometric identifier. Finger knuckle print is defined by the back side of fingers. On the back side of fingers there are three joints named as Metacarpophalangeal (MCP) joint, Proximal InterPhalangeal (PIP) joint, distal InterPhalangeal (DIP) joint. The joint which connects hand with the fingers is known as MCP joint and the pattern generated on MCP joint is referred as second minor finger knuckle print. The joint in the middle of finger is known as PIP joint and the pattern generated on this joint is referred as major finger knuckle print. The joint on the tip of finger is known as DIP joint and the pattern generated on this joint is referred as minor finger knuckle print.