基于OCR的盲人相机检测

Pankaj Kunekar, Yugal Urkude, Tanmay Khiratkar, Uday Sonwane, Sejal Nikhade, Utkarsha Mandlik, Tushar Gaikwad
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引用次数: 0

摘要

根据世界卫生组织的数据,世界上有数百万视力受损的人。本文的基础是开发一个为这些人提供帮助的系统。该系统基于树莓派上的OpenCV的Tesseract OCR(光学字符识别)库来实现。OCR库用于从pi相机模块捕获的图像中识别文本。这有助于将相机拍摄的所需页面的图片转换为相应的文本。最后,使用TTS(文本到语音)引擎通过耳机将文本转换为语音。耳机是用来听转换后的语音的。这款文字转语音应用程序可以帮助盲人识别打印文件中的文字,并在旅行中避开障碍物,因此盲人不会感到视力受损。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera Detection for Blind People Using OCR
According to the World Health Organization, there are millions of visually impaired people in the world. This paper is based on the development of a system that provides aid to such people. A pi camera is used to implement the system which is based on the Tesseract OCR (Optical Character Recognition) library of OpenCV in Raspberry pi. OCR library is used to recognize text from the captured image by the pi camera module. This helps to convert the picture of the desired page taken by the camera into respective text. Finally, this text is converted into speech through headphones using the TTS (Text-to-Speech) Engine. A headset is used for hearing the converted speech. The text-to-speech application assists them to detect text from printed documents and avoiding obstructions while traveling hence a blind person can feel not visually impaired.
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