Handwritten Kannada numeral recognition based on structural features

被引：2
|
作者：
Dhandra, B. V. [1 ]
Benne, R. G. [1 ]
Hangarge, Mallikarjun [1 ]
机构：
[1] Gulbarga Univ, PG Dept Comp Sc, Gulbarga, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL II, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICCIMA.2007.213
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with the automatic recognition of handwritten Isolated Kannada numerals based on structural features. Four different types of structural features namely, directional density of pixels in four directions, water reservoirs, maximum profile distances, and fill hole density are used for the recognition of numerals. A Minkowski minimum distance criteria is used to find minimum distances and K-nearest neighbor classifier is used to classify the Kannada numerals. A total 1512 numeral images are tested, and the overall accuracy is found to be 96.12%. The novelty of the proposed method is that it is thinning free, fast and writer style independent.
引用
收藏
页码：224 / 228
页数：5
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