Abstract

According to World Health Organization in 2017 nearly 253 million people are visually impaired of whom 36 million are blind. Braille books involve the tactile format that helps the visually impaired people to gain knowledge but only a limited resource is available. Enormous papers and studies describe the method for obtaining machine readable document from textual image. In upcoming days character recognition might serve a key role to create a paperless environment that helps the visually impaired people to gain enormous amount of educational material. Handwritten script recognition is gaining vital importance in today’s electronically interconnected society. In the field of machine learning and pattern matching handwritten has gained lot of attention. This paper first summarizes the pros and cons of technologies developed for the visually impaired people in terms of education material obtained from text image and handwritten image. Along with that it presents a performance comparison of different methods. Finally, it describes the future research work in this domain.

中文翻译：

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模式识别和图像分析方法在低视力和视觉障碍者生活方式改善中的应用调查

摘要

根据世界卫生组织的数据，2017年有近2.53亿视障人士，其中3600万人是盲人。盲文书籍涉及触觉格式，可帮助视障人士获得知识，但只能使用有限的资源。大量的论文和研究描述了从文本图像中获取机器可读文档的方法。在未来的日子里，字符识别可能会在创建无纸化环境中发挥关键作用，该环境可帮助视障人士获得大量的教育材料。手写脚本识别在当今的电子互连社会中正变得至关重要。在机器学习和模式匹配领域，手写已引起了广泛的关注。本文首先从文本图像和手写图像获得的教材中总结了为视障人士开发的技术的利弊。除此之外，它还提供了不同方法的性能比较。最后，它描述了该领域的未来研究工作。