An Efficient Method for Extracting Features from Blurred Fingerprints Using Modified Gabor Filter

Biometrics is the science and technology of measuring and analyzing biological data. In information technology, biometrics refers to technologies that measure and analyze human body characteristics, such as DNA, fingerprints, eye retinas and irises, voice patterns, facial patterns and hand measurements for authentication purposes. Fingerprint is one of the most developed biometrics, with more history, research and design. Fingerprint recognition identifies people by using the impressions made by the minute ridge formations or patterns found on the fingertips. The extraction of features from blurred or unclear fingerprints becomes difficult. So instead of ridges we tried to extract valleys from same images, because fingerprints consist of both ridges and valleys as its features. We found some good results for valley extraction with different filters including Gabor filter. So in this paper we modified the Gabor filter to reduce the time consumption and also for extraction of more valleys than Gabor filter.