%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