Affine-invariant character recognition by progressive removing

被引：0

作者：

Iwamura, Masakazu ^{[1
]}

Horimatsu, Akira ^{[1
]}

Niwa, Ryo ^{[1
]}

Kise, Koichi ^{[1
]}

Uchida, Seiichi ^{[2
]}

Omachi, Shinichiro ^{[3
]}

机构：

[1] Osaka Prefecture Univ, Grad Sch Engn, Osaka, Japan

[2] Kyushu Univ, Fac Engn, Fukuoka 812, Japan

[3] Tohoku Univ, Fac Engn, Sendai, Miyagi 980, Japan

来源：

ELECTRICAL ENGINEERING IN JAPAN | 2012年 / 180卷 / 02期

关键词：

approximate ellipse; normalization; feature histogram; progressive removing;

D O I：

10.1002/eej.22276

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine-invariant features and a new recognition scheme called progressive removing that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial algorithm without decreasing the recognition rate. (c) 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 180(2): 5563, 2012; Published online in Wiley Online Library (). DOI 10.1002/eej.22276

引用

页码：55 / 63

页数：9

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