Literature Review on Fingerprint Level 1 and Level 2 Features Enhancement to Improve Quality of Image

International Journal of Management, Technology, and Social Sciences (IJMTS), Vol. 2(2), p. 8-19, July 2017 DOI/10.5281/zenodo.835608

12 Pages Posted: 31 Jul 2017

See all articles by Krishna Prasad K

Krishna Prasad K

Srinivas University - College of Computer & Information Sciences

P. S. Aithal

Srinivas Institute of Management Studies

Date Written: July 28, 2017

Abstract

Biometrics is the one most popular property in human distinguishing proof based on physical or behavioral features. The different physiological characteristics are Fingerprint, DNA, Face, hand, retina, ear features, and odor, where as behavioral characteristics or features are typing rhythm, gait, gesture, and voice with the basic premise that all are unique and all human beings are identified by these intrinsic traits. In the physiological traits, Fingerprint is most commonly utilized the biometric feature in diverse fields for identification and verification purpose. Fingerprint features can be separated into three noteworthy classifications in view of the granularity at which they are removed as level 1, level 2, and level 3 features. Level 1 feature contains macro details, which are easily extractable and include orientation filed, ridge frequency filed and pattern configuration. Only these global features or Level 1 features are not sufficient to uniquely identify or recognize, but if these features are used along with level 2 or level 3 features, that can make the fingerprint recognition system more robust and secure. Level 1 features are used for image enhancement and orientation purpose. In this paper, we made a survey of existing literature on Level 1 features and try to analyze other researcher's contribution to this field.

Keywords: Fingerprint Recognition, Ridge Orientation, Ridge Ending, Bifurcation, Level 1 Features

Suggested Citation

K, Krishna Prasad and Aithal, P. S., Literature Review on Fingerprint Level 1 and Level 2 Features Enhancement to Improve Quality of Image (July 28, 2017). International Journal of Management, Technology, and Social Sciences (IJMTS), Vol. 2(2), p. 8-19, July 2017 DOI/10.5281/zenodo.835608 . Available at SSRN: https://ssrn.com/abstract=3010152

Krishna Prasad K (Contact Author)

Srinivas University - College of Computer & Information Sciences ( email )

Mangalore
India

P. S. Aithal

Srinivas Institute of Management Studies ( email )

Srinivas Campus
Pandeshwar
Mangalore, Mangalore 575001
India
9343348392 (Phone)

HOME PAGE: http://www.srinivasuniversity.ac.in

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