Recognition of Text in Wine Label images

被引：0
|
作者：
Lim, Junsik [1 ]
Kim, Soohyung [1 ]
Park, JongHyun [1 ]
Lee, GueeSang [1 ]
Yang, HyungJeong [1 ]
Lee, ChilWoo [1 ]
机构：
[1] Chonnam Natl Univ, Sch Elect & Comp Engn, Kwangju, South Korea
来源：
PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2 | 2009年
关键词：
Text detection; text segmentation; recognition; SEGMENTATION;
D O I：
暂无
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, an automatic recognition system for Wine label images is described. The system includes detection and extraction of text for the recognition for Wine label images. It deals with impediments caused by different font styles and font sizes, as well as illumination changes and noise effects. Firstly, the text region is extracted by an edge-histogram, and the text is binarized by clustering. Secondly, the extracted text is divided into individual characters, which are recognized by using the Multi-Layer Perceptron. A shape-based statistical feature is adopted and the recognition results are generated for each character. The system has been implemented in a mobile phone and is demonstrated to show an acceptable performance.
引用
收藏
页码：911 / 915
页数：5
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