Fingerprint segmentation based on local Fourier transform

Dongjin Fan; Jufu Feng

doi:10.1117/12.750816

15 November 2007 Fingerprint segmentation based on local fourier transform

Dongjin Fan, Jufu Feng

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862W (2007) https://doi.org/10.1117/12.750816
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The segmentation of fingerprint images plays an important role in fingerprint recognition. A new algorithm based on Local Fourier Transform (LFT) for the fingerprint segmentation is proposed in this paper. Firstly, we perform the Local Fourier Transform on image to get eight independent Local Fourier coefficients per pixel. Then, block features are extracted by calculating the 2nd, 4th, 6th order moments of the local Fourier coefficients of every pixel in the block. After that, a Fisher linear discriminant classifier is trained for the classification per block. Finally, mathematical morphology and region boundary smoothing is applied as postprocessing to obtain compact clusters and to reduce the number of classification errors. The experimental results on the databases of FVC2004 demonstrate the robustness and the efficiency of the proposed method.

Citation Download Citation

Dongjin Fan and Jufu Feng "Fingerprint segmentation based on local fourier transform", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862W (15 November 2007); https://doi.org/10.1117/12.750816

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