Issues and Performance Improvement for Biometric System
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Abstract
In the era of information security biometric is the most secure and appropriate method for encouraging the person recognition and identification. It authenticate a person based on physiological (material or behavioral) characteristics of the person.
newlineFingerprint authentication is the most famous and widely adopted biometric over a century because it remain unique and consistent over time. It is popular because used in many sectors like government, national and international security, law enforcement agencies and so on for making safe and secure world.
newlineMany different types of algorithms and sensors available in the market and to develop the fingerprint standard is become an essential element in fingerprint recognition in both national and international levels. The image obtain by one device is interpreted by another device means interoperability play a vital role in product implementation.
newlineEven though the widely use of fingerprints, still some less statistical work done on the uniqueness of fingerprint minutiae. Still the how many minutiae pair should be match is unresolved for fingerprint matching. The proposed research work focus on following major challenges which are exist in fingerprint recognition.
newlineFirst major challenge in fingerprint recognition system is poor quality images. The performance of the fingerprint recognition is influenced by the quality of an image. To, overcome this problem at initial level use the normalization method which remove the noise which is created by the pressure given on scanner. As well as at image enhancement phase proposed research used the O Gorman filter and also enhanced it for improving the quality of an input image. The performance is also compared with most famous image enhancement method called as Gabor filter. The result prove that enhanced O Gorman filter connect broken ridges, remove noises between the ridges and improve the ridge and valley contrast.
newlineSecond major challenge in fingerprint recognition system is displacement of fingerprint which give false result at the