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This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Deep learning technique — Convolutional Neural Networks. Experimental results, obtained using a publicly available test database of 200 fingerprint images in two variations — with and without Gaussian noise, demonstrate that this method is competitive with Fourier coefficients and NN based method for fingerprint...
A fingerprint image segmentation approach is proposed in this paper. First, a feature called Fingerprint Ridge Intensity (FRI) is described in detail, which employs two intrinsic fingerprint features, that is, ridge orientation and ridge circle, to represent ridge intensity. Then an adaptive segmentation algorithm for FRI is proposed. Finally, a post-processing procedure is proposed to reduce segmentation...
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