Real time ridge orientation estimation for fingerprint images
This work addresses the need for faster fingerprint processing in biometric identification systems, though it is incremental as it applies an existing method to hardware implementation.
The paper tackled the problem of real-time fingerprint ridge orientation estimation, which is essential for minutiae extraction in verification systems, by presenting a hardware scheme based on pipelined architecture that proved functional and accurate in synthesized circuits.
Fingerprint verification is an important bio-metric technique for personal identification. Most of the automatic verification systems are based on matching of fingerprint minutiae. Extraction of minutiae is an essential process which requires estimation of orientation of the lines in an image. Most of the existing methods involve intense mathematical computations and hence are performed through software means. In this paper a hardware scheme to perform real time orientation estimation is presented which is based on pipelined architecture. Synthesized circuits proved the functionality and accuracy of the suggested method.