Correlation Based Method for Identification of Fingerprint- A Biometric Approach
Prateek Verma1, Maheedhar Dubey2, Praveen Verma3
1Prateek Verma, Department of Electronics & Telecommunication Engg., Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh India.
2Maheedhar Dubey, Electronics & Telecommunication Engg., Chhatrapati Shivaji Institute of Technology, Durg, India.
3Praveen Verma, Electronics & Telecommunication Engg., National Thermal Power Corporation Limited, Sipat, Bilaspur, Chhattisgarh, India.
Manuscript received on March 01, 2012. | Revised Manuscript received on March 18, 2012. | Manuscript published on April 30, 2012. | PP: 177-181 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0317041412/2012©BEIESP

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Abstract: With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention Biometrics deals with identifying individuals with help of their biological data. Fingerprint scanning is the most common method of the biometric methods available today. The security of fingerprint scanners has however been questioned and previous studies have shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint recognition systems are evolving and this paper will discuss the situation of today. We match the finger prints, one that is already in the database of the sensor and second the fingerprint that we enrolled in the sensor currently by using the Boolean function X-ORING. We get the matching score and decide the result on the matching score basis, whether the fingerprint is matched or not. 
Keywords: Fingerprint, Biometrics, Artificial Intelligence, Sensors.