Core Point Detection Using Fine Orientation Field Estimation

Abstract

Performance of Automatic Fingerprint Identification System(AFIS) is greatly influenced by the detection of core point. Extraction of best Region Of Interest(ROI) from image can play a vital role for core point detection. In this paper, we present an improved technique for fine orientation field estimation and core point detection. The distinct feature of our technique is that it gives high detection percentage of core point even in case of low quality fingerprint images. The proposed algorithm is applied on FVC2004 database. Results of experiments demonstrate improved performance for detecting core point.