Study of Improved Parallel Thinning Algorithm for Numeral Patterns: A Review

Abstract: Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. Understanding in this context means the transformation of visual images (the input of retina) into descriptions of world that can interface with other thought processes and elicit appropriate action. A number of image processing and pattern recognition application demand that are raw digitized binary pattern array be normalized, so that the constituents components of that array are of uniform thickness. This wide range of application shows the usefulness of reducing the patterns to thin line representations, which can be attributed to the need to process a reduced amount of data as well as to the fact that shape analysis can be more easily made on line. This Paper has been proposed and reviews the thinning steps and algorithms.

Keywords: Image Processing, Thinning, Computer Vision.