Orientation feature for fingerprint matching

This paper describes a fingerprint verification algorithm based on the orientation field. The orientation field of a fingerprint image has also been used for image alignment. Area around the core point has been employed as an area of interest for determining the orientation feature map. The algorithm has been tested on two databases (database available from University of Bologna, Biometrics Laboratory and FVC2002). The performance of the algorithm is measured in terms of receiver operating characteristics (ROC). For the University of Bologna database, at ∼0%∼0% false acceptance rate (FAR) the genuine acceptance rate (GAR) observed is ∼78%∼78% and at ∼11%∼11% FAR, GAR is ∼97%∼97%. For the FVC2002 database at ∼0%∼0% FAR the GAR observed is 75%75% and at ∼18%∼18% FAR, GAR is 93%93%. Proposed algorithm yields better GAR at low FAR with reduced computational complexity. Because of simplicity in computations the algorithm can be easily implemented as an embedded automatic fingerprint identification system (AFIS).