DOI:  https://dx.doi.org/10.1007/978-3-642-14292-5_1
REFERENCE: Başçiftçi F., Karaca C. (2010) A New Approach for Fingerprint Matching Using Logic Synthesis. In: Zavoral F., Yaghob J., Pichappan P., El-Qawasmeh E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg https://dx.doi.org/10.1007/978-3-642-14292-5_1 (SCOPUS).

 Abstract

In this study, a new approach based on logic synthesis to match feature points from fingerprint images is developed and introduced. For fingerprint matching we propose logic minimization method to make matching process easy and fast. We think that use logic minimization method might be used as a reliable in fingerprint recognition.

Keywords: Biometric, fingerprint recognition, logic synthesis 

Introduction of Biometrics and Fingerprint

A biometric is a physical or psychological feature that can be measured and quantified. This quantified feature can be used to authenticate a person with a degree of certainty by comparing different measurements of this feature. Clearly the degree of certainty depends on the type and quality of the biometric and the authentication algorithm used. Fingerprint biometrics was one of the first biometrics that is used for identification and authentication purposes. It is still widely used in many areas and people accept that fingerprints are unique and can be used for identification. Since it is widely used, it is crucial to have a secure fingerprint authentication system. Generally macro and micro features are used to identify a fingerprint image [1]. Macro features can be seen with the naked eye but to see the micro features, a sensor device is necessary. The most common macro features are ridge patterns as illustrated in Figure 1.On the other hand, common minutia points (i.e. micro features) are ridge ending, ridge bifurcation and dot (or island) as illustrated in Figure 2. Some of the main macro and micro features are marked in Figure 3. In our study, we will work on feature points determined fingerprint image to match feature points between two fingerprint images by using logic minimization. Feature points will be taken an important role for our matching process.