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PCA-Based Image Recognition of Braille Blocks for Guiding the Visually Handicapped
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  • PCA-Based Image Recognition of Braille Blocks for Guiding the Visually Handicapped
  • PCA-Based Image Recognition of Braille Blocks for Guiding the Visually Handicapped
저자명
Park. Sang-Jun,Shin. Dongwon
간행물명
International journal of precision engineering and manufacturing
권/호정보
2012년|13권 12호|pp.2115-2120 (6 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper presents the image recognition of braille blocks based on PCA (principal component analysis) for guiding the visually handicapped. The braille blocks are classified into four classes according to the type and orientation of the pattern on the block: vertical, right-slanted, left-slanted, and dotted stop blocks. PCA is used for generating the feature vectors of the braille block images for classification. We subclassified each class into 40 cases according to the pattern shape and camera factors, with the resulting learning set consisting of 160 images. We considered the effects of variations in pattern shape, camera height, camera angle, and illumination, and evaluated the recognition performance for 4,200 test images. The intensity mapping function is used to reduce the effect of illumination brightness. A glove-type aid device with a camera and vibrators is developed to acquire images and deliver the recognition results to the wearer.