title: All-digital ring-wedge detector applied to fingerprint recognition.
abstract: An all-digital ring-wedge detector system is presented that simulates the analog multielement array commonly used in coherent optoelectronic processors. The system is applicable with either hard-copy or digital imagery. Using neural-network software, we demonstrate high accuracy for the recognition of fingerprints, including both orientation and wide-scale size-independent sortings by using ring-only and wedge-only input neurons, respectively. Also, the system is applied on windowed subregions of fingerprint imagery, providing a feature set that summarizes localized information about spatial-frequency content and edge-angle correlations. Examples are presented in which this localized spatial-frequency information is used to produce local ridge-orientation maps and to detect regions of poor print quality. In summary, both direct-image data and spatial-transform data are found to be important.
authors.affiliation: Institute of Optics, Center for Electronic Imaging Systems, University of Rochester, Rochester, New York 14627, USA. berfang@optics.rochester.edu
authors.forename: D M
authors.initials: DM
authors.lastname: Berfanger
authors.forename: N
authors.initials: N
authors.lastname: George