Title :
OCR Based on ARG Matching Algorithm
Author :
V. Papic;Z. Djurovic;B. Kovacevic
Author_Institution :
Systems Control Department at the Faculty of Electrical Engineering, University of Belgrade, Belgrade, 11120, Serbia and Montenegro. papic@etf.bg.ac.yu
fDate :
6/28/1905 12:00:00 AM
Abstract :
The problem of alphabet character recognition, using known ARG (attributed relational graph) based technique, is considered. The object (character) representation, which is invariant to arbitrary projective transformation, is based on unary and binary measures. Transformation matrices for all transformation types (translation, similarity, affine and perspective transform) are defined. Basis matrices are obtained and barycentric coordinates, unary and binary measurements are defined. It is experimentally confirmed that the binary measures are invariant related to projective transform and so may be used as features for character recognition
Keywords :
"Optical character recognition software","Character recognition","Layout","Image recognition","Shape measurement","Control systems","Coordinate measuring machines","Object recognition","Computer vision","Image segmentation"
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714050
