Recognition of Handwritten Devanagari Numerals by Graph Representation and Lipschitz Embedding

被引：2
|
作者：
Bhat, Mohammad Idrees [1 ]
Sharada, B. [1 ]
机构：
[1] Univ Mysore, Dept Studies Comp Sci, Mysore 570006, Karnataka, India
来源：
RECENT TRENDS IN IMAGE PROCESSING AND PATTERN RECOGNITION (RTIP2R 2016) | 2017年 / 709卷
关键词：
Graph representation; Lipschitz embedding; Shape transformations; Cursivenes; CHARACTER-RECOGNITION; SCRIPTS;
D O I：
10.1007/978-981-10-4859-3_10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the task of recognizing handwritten devanagari numerals by giving graph representation is introduced. Lipschitz embedding is explored to extract style, size invariant features from numeral graphs. Graph based features adequately model the cursivenes and are invariant to shape transformations. Recognition is carried out by SVM with radial basis function. Extensive experiments have been carried on standard dataset of CVPR ISI Kolkata. Comparative study of our results is presented with previous reported results on the dataset. From this study, graph representation seems to be robust and resilient.
引用
收藏
页码：102 / 110
页数：9
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