Quality Improvement of Fingerprint Recognition System
It is a great achievement for us to digitally store and match digital fingerprint to recognize human. But still there are some significant modifications required to improve the quality of fingerprint recognition system’s result. Most of the digital finger
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Abstract It is a great achievement for us to digitally store and match digital fingerprint to recognize human. But still there are some significant modifications required to improve the quality of fingerprint recognition system’s result. Most of the digital fingerprint image contains noise. This unwanted information can be removed using preprocessing by image enhancement which includes various types of filtering techniques and binarization. Then the postprocessing operation which includes the computations of minutiae points and minutiae matching operation is performed. The research work is analyzed by comparing the output of filters. It exposed that unsharp filter gives more output values as compared to other filters that is better for blur fingerprint images.
Keywords Fingerprint recognition system Enrollment Fingerprint verification Fingerprint identification
1 Introduction The fingerprint images are used for person identification to identify or to contact a single person. To matches the fingerprint images, a special system is used known as the fingerprint recognition system. Generally password or identification card are used to identify the person in a particular area for accessing the system but this limitation of a particular area can be easily removed through the biometrics. Biometrics is a technology used for measuring the life characteristics because the Chandana (&) Surendra Yadav Manish Mathuria Department of Computer Science & Engineering, Maharishi Arvind Institute of Engineering & Technology, Sirsi Jaipur, India e-mail: [email protected] Surendra Yadav e-mail: [email protected] Manish Mathuria e-mail: [email protected] © Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 438, DOI 10.1007/978-981-10-0767-5_50
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biometrics data such as finger print image are unique for every person. Biometrics system such as fingerprint recognition system (FRS) are reliably capable of analyzing two fingerprint images that is original and another one is imposer stored in a database using the fingerprint matching systems. The FRS can be categorized into three sub domain: ‘Fingerprint Enrollment,’ ‘Fingerprint Verification,’ and ‘Fingerprint Identification.’ And last one that is a different approach from the general approach by researches, the fingerprint recognition here is referred as ‘Automatic Fingerprint Recognition System’ (AFRS) which is a program based. Fingerprint Enrollment When first time an individual person uses a biometrics system, it is defined as enrollment in the device. While enrollment process occurred, then biometrics information from an individual is captured and stored in database for further operation. Fingerprint Verification In the fingerprint database, there is one to one comparison of a captured fingerprint image which is stored with specific templates in order to verify the authenticity of individual person by his
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