Dr. Parvinder Singh¹ and Anisha Rana^{2
1 -2}Department of Computer Science & Engineering Deenbandhu Chhotu Ram University of Science and Technology, Murthal

Fingerprint recognition is a promising factor for the Biometric Identification and authentication process. Fingerprints are broadly used for personal identification due to its feasibility, distinctiveness, permanence, accuracy and acceptability. This paper proposes a way to improve the Equal Error Rate (EER) in fingerprint matching techniques in the domain of hybrid shape and orientation descriptor. This type of fingerprint matching domain is popular due to capability of filtering false and strange minutiae pairings. EER is calculated by using FMR and FNMR to check the performance of proposed technique.

Fingerprint, Minutiae, Feature Extraction, Shape Descriptor, Orientation Descriptor, EER