Fingerprint Image Enhancement Using Decimation Free Directional Adaptive Mean Filtering
In this paper we proposed a new enhancement technique that is based on the integration of Decimation Free Directional responses of the Decimation Free Directional Filter Banks (DDFB), adaptive mean filtering and the eigen decomposition of the Hessian matrix. By decomposing the input fingerprint image into decimation free directional images, it is easy to remove the noise directionally by means of adaptive mean filtering and further eigen decomposition of the Hessian matrix was used for the segmentation purpose. As the input fingerprint image is not uniformly illuminated so we have used the bandpass filter for the elimination of non-uniform illumination and for the creation of frequency ridge image before giving it to DDFB. The final enhanced result is constructed on a block-by-block basis by comparing energy of all the directional images and picking one that provides maximum energy.
KeywordsHessian Matrix Segmented Image Directional Image Fingerprint Image Directional Filter Bank
Unable to display preview. Download preview PDF.
- 1.Khalid Khan, M., Khan, M.A.U., Aurangzeb Khan, M.: Fingerprint image enhancement using decimation free directional filter banks. Information Technology Journal 4(4), 16–20 (2005)Google Scholar
- 6.Onnia, V., Tico, M., Huosmanen, P.: Fingerprint image enhancement based on second directional derivative of the digital image. EURASIP Journal on Applied Signal Processing (10), 1135–1144 (2002)Google Scholar
- 7.Al-Bovik (ed.): Handbook of Image and Video Processing. Academic Press, London (2000)Google Scholar
- 9.Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Pearson Education, Inc. (2002)Google Scholar
- 11.Frangi, A., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)Google Scholar
- 14.Sato, Y., Nakajima, S., Atsumi, H., Koller, T., Gerig, G., Yoshida, S., Kikinis, R.: 3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. In: First Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery, Grenoble, France, June 1997, pp. 213–222 (1997)Google Scholar