Fingerprint reference point detection based on local ridge orientation patterns of fingerprints

This paper introduces an approach to detect reference points for fingerprint images from their local ridge orientation maps. This approach classifies detected singular points into several core and delta point pairs. The validation procedure contains two stages in which the first stage is to remove false pairs of core and delta points and the second stage is to do some post processing of these unpaired singular points. Furthermore, this approach could be extended for reference point detection of arch and partial fingerprint images. The experiments of singular point detection part are conducted on FVC 2002 database 1 and 2. The result shows the average correct rate of singular point detection is 94.05% on the above databases.