为说孟加拉语的视障人士设计一套阅读装置

Md. Mahade Sarkar, Shuvasis Datta, Md. Mahedi Hassan
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引用次数: 4

摘要

阅读装置是一种紧凑的硬件装置,里面编码了必要的程序,可以像人类读者一样读出打印出来的文件。有视力问题的人不能阅读书籍、报纸或任何印刷的阅读材料。这个问题可以简单地解决:把阅读材料拍成图像,从图像中提取单词,然后把这些单词转换成声音,这样通过听到文本转换成的声音,他们就能理解纸上写的是什么。为说孟加拉语的视障人士设计了一种装置。字符识别采用tesseract-ocr作为光学字符识别(OCR)引擎。Python gTTS模块,文本到语音引擎用于将tesseract-ocr提取的单词转换为声音。整个过程基于紧凑的硬件设计在树莓派上实现。从捕获的图像和文字到声音转换的字符检测准确率高达85%。需要指出的是,准确度是根据图像中正确单词占总单词的百分比来计算的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a reading device for bengali speaking visually handicapped people
A reading device is a compact hardware setup with necessary programmes coded in it which read out printed documents like a human reader. People having eyesight problem can't read books, papers or any kind of printed reading materials. This problem can be solved simply by taking image of the reading materials, extracting words from the image and converting those words to sound, so by hearing that text converted sound they can understand what is written on that paper. A device is implemented for Bengali speaking visually handicapped people. For character recognition tesseract-ocr is used as optical character recognition(OCR) engine. Python gTTS module, a text to speech engine is used to convert the words extracted by tesseract-ocr to sound. Whole process is implemented on Raspberry Pi based a compact hardware design. Accuracy of character detection from the captured image and words to sound conversion is as high as 85 %. It is to be mentioned that accuracy is calculated as percentage of correct words to total words in an image.
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