Joint transform correlator fingerprint verification using complementary-reference and complementary-scene images

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.

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