Optimization of Core Point Detection in Fingerprints

This paper compares and documents the work of an optimized fingerprint core point determination algorithm. This work focuses to present an efficient and precise way for the extraction of core point. Core Point is detected using least mean square algorithm. Orientation is figured out via a novel efficient technique. This technique is better in terms of time and accuracy as compared to other two techniques mentioned in this paper. Poin´care index is then used to find out the location of core point. Found point may be slightly in error so further refinement is performed. For further tuning, a small window of specific size (w x w) is cropped around that point. This area is now tuned via PC after making some enhancements to it. The results obtained are very good and are produced efficiently. Proposed algorithm provides the hybrid platform where refinement can be done via any technique.