Access control system with high level security using fingerprints

• Main Authors: Younhee Gil, Dosung Ahn, Sungbum Pan, Yongwha Chung
• Format: Conference Proceeding
• Language: English
• Subjects: Access control; Biometrics; Data mining; Feature extraction; Fingerprint recognition; Hazards; Image databases; Image matching; Information security; Privacy
• DOI: 10.1109/AIPR.2003.1284278

Biometric based applications guarantee for resolving numerous security hazards. As a method of preserving of privacy and the security of sensitive information, biometrics has been studied and used for the past few decades. Fingerprint is one of the most widely used biometrics. A number of fingerprint verification approaches have been proposed until now. However, fingerprint images acquired using current fingerprint input devices that have small field of view are from just very limited areas of whole fingertips. Therefore, essential information required to distinguish fingerprints could be missed, or extracted falsely. The limited and somewhat distorted information are detected from them, which might reduce the accuracy of fingerprint verification systems. In the systems that verify the identity of two fingerprints using fingerprint features, it is critical to extract the correct feature information. In order to deal with these problems, compensation of imperfect information can be performed using multiple impressions of enrollee's fingerprints. In this paper, additional three fingerprint images are used in enrollment phase of fingerprint verification system. Our experiments using FVC 2002 databases show that the enrollment using multiple impressions improves the performance of the whole fingerprint verification system.