A Novel Approach for Extracting Fingerprint Features from Blurred Images
R. Vinothkanna1, Amitabh Wahi2

1R. Vinothkanna, Assistant Professor/ ECE Department, King College of Technology, Namakkal, India.
2Dr. Amitabh Wahi, Professor / IT Department, Bannariamman Institute of Technology, Sathyamangalam, Erode, India.

Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 231-235 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0562042212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Biometrics is the science and technology of authentication by identifying the living individual’s physiological or behavioral attributes. Fingerprint identification is one of the most well known and published biometrics. Normally in blurred fingerprints the extraction of ridges becomes very difficult. But the extraction of valleys instead of ridges from the same blurred fingerprint images will produce better results. In this paper, we have tried the extraction of features with different types of filters like Median filter, Gaussian filter, Wiener filter, Kalman filter and Gabor filter. We noticed that the extraction of valleys instead of ridges from blurred fingerprints will produce more features for forth coming processes like post-processing and matching process.

Keywords: Biometrics, Fingerprints, Valley Extraction, Ridge Extraction, and Gabor filter.