%0 Journal Article %A Jayadevan R. and Jayant V. Kulkarni and Suresh N. Mali and Hemant K. Abhyankar %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 19, 2008 %T A New Ridge Orientation based Method of Computation for Feature Extraction from Fingerprint Images %U https://publications.waset.org/pdf/3120 %V 19 %X An important step in studying the statistics of fingerprint minutia features is to reliably extract minutia features from the fingerprint images. A new reliable method of computation for minutiae feature extraction from fingerprint images is presented. A fingerprint image is treated as a textured image. An orientation flow field of the ridges is computed for the fingerprint image. To accurately locate ridges, a new ridge orientation based computation method is proposed. After ridge segmentation a new method of computation is proposed for smoothing the ridges. The ridge skeleton image is obtained and then smoothed using morphological operators to detect the features. A post processing stage eliminates a large number of false features from the detected set of minutiae features. The detected features are observed to be reliable and accurate. %P 2466 - 2471