OCR Based on ARG Matching Algorithm

OCR Based on ARG Matching Algorithm
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基于ARG匹配算法的OCR

DOI：
10.1109/wcica.2006.1714050
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发表时间：
2006
期刊：
2006 6th World Congress on Intelligent Control and Automation
影响因子：
--
通讯作者：
Branko Kovacevic
Branko Kovacevic
中科院分区：
--
文献类型：
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作者：
V. Papic;Z. Djurovic;Branko Kovacevic

文献摘要

被引文献

相似文献

考虑使用已知的基于ARG（属性关系图）的技术的字母字符识别问题。对象（字符）表示对任意投影变换不变，它基于一元和二元度量。定义了所有变换类型（平移、相似、仿射和透视变换）的变换矩阵。获得基础矩阵并定义重心坐标、一元和二元测量。实验证实二值测度对于投影变换具有不变性，因此可以用作字符识别的特征
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