Optical Braille Character Recognition with Support-Vector Machine Classifier
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.
optical braille image recognition feature extraction support-vector machine
Jie Li Xiaoguang Yan
College of Electronic and Information Engineering Changchun University Changchun, Jilin Province, China
国际会议
太原
英文
219-222
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）