Touch-less fingerprint recognition has been receiving attention recently as it frees from the problems in terms of hygienic, maintenance and latent fingerprints. However, the conventional techniques that used to preprocess the optical or capacitance sensor acquired fingerprint image, for segmentation, enhancement and core point detection, are inadequate to serve the purpose. The problems of the touch-less fingerprint recognition consist of low contrast between the ridges and the valleys in fingerprint images, defocus and motion blur. In this paper, we opt for digital camera as the device to capture the fingerprint image in RGB format and we outline the procedures to segment, enhance and detect the core point of the fingerprint image.
Citation:
B.Y. Hiew, Andrew B.J. Teoh, David C.L. Ngo, "Automatic Digital Camera Based Fingerprint Image Preprocessing," cgiv, pp.182-189, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006