NDLI: Optical Braille character recognition with Support-Vector Machine classifier

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2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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Optical Braille character recognition with Support-Vector Machine classifier

Content Provider	IEEE Xplore Digital Library
Author	Jie Li Xiaoguang Yan
Copyright Year	2010
Description	Author affiliation: College of Electronic and Information Engineering, Changchun University, Jilin Province, China (Jie Li; Xiaoguang Yan)
Abstract	This paper introduces a system that uses Support-Vector Machine (SVM) to recognize Braille characters from an image. Braille images is captured by the digital cameras, and pre-process the Braille images, segment the Braille images by the image processing technology and then extract the Braille features by the fixed nature of Braille. The SVM system architecture is designed, and the specific image processing approach is introduced in detail in this paper. This method is simple, convenient, and easy to operate, also able to extract dots online in real time. The experiments show that the method is effective and accurate for Braille extraction.
File Size	782700
File Format	PDF
ISBN	9781424472352
e-ISBN	9781424472376
DOI	10.1109/ICCASM.2010.5622245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Gray-scale Feature Extraction Feature extraction Classification algorithms Optical Braille image recognition Character recognition Support-Vector Machine Pixel
Content Type	Text
Resource Type	Article

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