Paper
13 April 2009 Joint transform correlator fingerprint verification using complementary-reference and complementary-scene images
Hussain A. Kamal, Abdallah K. Cherri
Author Affiliations +
Abstract
Being a popular choice among the biometric features, the fingerprint has long been used for identification and verification purposes by security agencies. In this paper, additional images are included in the input joint images in a joint transform correlator (JTC) to achieve a fast real-time fingerprint verification. In the proposed scheme, in addition to the reference and the target image, the input joint image has a complementary reference image and a complementary target image. At the correlation output of the JTC, the cross-correlation peak value between the reference and the complementary target image and the cross-correlation peak value between the complementary reference and the target images are used as the criteria to perform the recognition of the target in the input scene. It will be shown that these two cross-correlation peak values will be zero if and only if the input target matches the reference image. The scheme is employed to verify binary characters and binarized fingerprint images.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hussain A. Kamal and Abdallah K. Cherri "Joint transform correlator fingerprint verification using complementary-reference and complementary-scene images", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400P (13 April 2009); https://doi.org/10.1117/12.818121
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target recognition

Joint transforms

Optical correlators

Binary data

Biometrics

Fourier transforms

Spatial light modulators

RELATED CONTENT


Back to Top