Efficient Real Time Inked Fingerprints Identification System

C. Naga Raju*, Vijaya Kumar**, R. Pradeep Kumar Reddy***
* Associate Professor and Head, Department of Computer Science and Engineering, YSR Engineering College Andhra Pradesh, India.
** Assistant Professor, Department of Computer Science Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, Andhra Pradesh, India.
*** Assistant Professor, Department of Computer Science and Engineering, YSR Engineering College, Andhra Pradesh, India.
Periodicity:June - August'2014
DOI : https://doi.org/10.26634/jpr.1.2.2924

Abstract

With the increase in technology threats to personal data, security has been increased. There was a need to introduce a technology that secures our data more efficiently from other unlawful intervention. Automatic Fingerprint Recognition Systems are more powerful and widely used for criminal identification and authentication. Automatic fingerprint recognition is an extremely critical process, especially in low quality and rotation invariant inked and scanned fingerprints because of the quality of ink and the way of finger impression on the surface of the paper or scanner. In this paper, an efficient real time fingerprint identification system for inked fingerprints has been addressed. This method ensures the quality of the fingerprint with greater matching reliability and efficiency.

Keywords

ROI (Region of Interest), AFIS (Automatic Fingerprint Identification System), Minutiae, Geometric Mean and Classification

How to Cite this Article?

Raju, C. N., Kumar, V., and Reddy, R. P. K. (2014). Efficient Real Time Inked Fingerprints Identification System. i-manager’s Journal on Pattern Recognition, 1(2), 16-23. https://doi.org/10.26634/jpr.1.2.2924

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