A New Approach for Thresholding Finger Print Images based on Second Order Statistical Methods
M. Radhika Mani, R. Kavitha Lakshmi · International Journal of Computer Graphics · 2014
Thresholding methods are important in any image processing technique. It is used to convert the input gray level image to binary image. Hence, they are the essential preprocessing methods. The present paper proposes various methods for thresholding based on second order statistics (CTH, ETH, HTH, ATH). The proposed four methods are applied on various finger print images and compared with various first order statistics based methods (max, min, (max-min)/2, standard deviation, mean). The results clearly indicate the efficiency of the proposed algorithms.