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

Author:

K. Krishna Prasad1,Aithal P. S.2

Affiliation:

1. Research Scholar, College of Computer and Information Science, Srinivas University, Mangaluru-575001, Karnataka, India

2. College of Computer and Information Science, Srinivas University, Mangaluru-575001, Karnataka, India

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. Level1 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.

Publisher

Srinivas University

Reference27 articles.

1. Virdi, M. K. (2014). Fingerprint Matching System for Spurious Minutiae. Journal of Basic and Applied Engineering Research, 1(11), 50-53.

2. Dermatoglyphics.org. (2017). 11 Basic Patterns of Fingerprint [online] Available at: http://dermatoglyphics.org/11 Basic Patterns of Fingerprint / [Accessed 17 July. 2017].

3. Karani, K. P., Aithal, P. S. (2017). A Conceptual Study on Image Enhancement Techniques for Fingerprint Images. International Journal of Applied Engineering and Management Letters (IJAEML),1(1), 63-72. DOI: http://dx.doi.org/10.5281/zenodo.831678

4. Krishna Prasad, K. and Aithal, P. S.(2017). A Conceptual Study on User Identification and Verification Process Using Face Recognition Techniques. International Journal of Applied Engineering and Management Letters (IJAEML), (ISSN Applied), 1(1), 6-17. DOI:http://doi.org/10.5281/zenodo.810343.

5. https://images.google.com/. (2017). Google. [online] Available at: https://images.google.com/ Low level features of fingerprint [Accessed 18 July. 2017].

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