A Novel Character Segmentation Method for Text Images Captured by Cameras

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题名:	A Novel Character Segmentation Method for Text Images Captured by Cameras
作者:	Lue,HT;Wen,MG;Cheng,HY;Fan,KC;Lin,CW;Yu,CC
贡献者:	資訊工程學系
关键词:	SUPPORT VECTOR MACHINES;RECOGNITION;CLASSIFICATION;VIDEO;SIGNS
日期:	2010
上传时间:	2012-03-27 18:54:55 (UTC+8)
出版者:	國立中央大學
摘要:	Due to the rapid development of mobile devices equipped with cameras, instant translation of any text seen in any context is possible. Mobile devices can serve as a translation tool by recognizing the texts presented in the captured scenes. Images captured by cameras will embed more external or unwanted effects which need not to be considered in traditional optical character recognition (OCR). In this paper, we segment a text image captured by mobile devices into individual single characters to facilitate OCR kernel processing. Before proceeding with character segmentation, text detection and text line construction need to be performed in advance. A novel character segmentation method which integrates touched character filters is employed on text images captured by cameras. In addition, periphery features are extracted from the segmented images of touched characters and fed as inputs to support vector machines to calculate the confident values. In our experiment, the accuracy rate of the proposed character segmentation system is 94.90%, which demonstrates the effectiveness of the proposed method.
關聯:	ETRI JOURNAL
显示于类别:	[資訊工程學系] 期刊論文

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