CLASSIFICATION OF GUIDING BLOCKS FOR THE VISUALLY IMPAIRED USING HOG AND SVM

Nurul Fathanah Mustamin, M. A. Ma’ruf, Rafif Taufiqurrahman
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Abstract

All citizens, including those with physical limitations, should be able to use public facilities and services without issue. The principles of accessibility—convenience, safety, usability, and independence—must be followed if we are to achieve social welfare in every area of life. For those with mobility or sight impairments, a guiding block (also known as a guiding tile or warning tile) can serve as an important indication. Regrettably, not all visually impaired people make use of this function in its current setup. Use a Support Vector Machine (SVM) and a His-togram of Oriented Gradient (HOG) to extract features for use in Guidance block image categorization. At a threshold of 75, the guiding blocks' classification accuracy is 99.51 percent within 30 cm, 74.811 percent within 50 cm, and 82.221 percent within 80 cm.    
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基于hog和SVM的视障导盲块分类
所有公民,包括身体有缺陷的人,都应该能够毫无问题地使用公共设施和服务。如果我们要在生活的各个领域实现社会福利,就必须遵循无障碍原则——方便、安全、可用和独立。对于那些行动不便或视力受损的人来说,一个引导块(也称为引导砖或警告砖)可以作为一个重要的指示。遗憾的是,并不是所有的视障人士都能使用这个功能。利用支持向量机(SVM)和梯度梯度his图(HOG)提取特征,用于导块图像分类。当阈值为75时,导块在30 cm范围内的分类准确率为99.51%,在50 cm范围内的分类准确率为74.811%,在80 cm范围内的分类准确率为82.221%。
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