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Detecting text based image with optical character recognition for English translation and speech using Android

机译:使用Android检测语音字符识别文本的图像与语音字符识别

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Smartphones have been known as most commonly used electronic devices in daily life today. As hardware embedded in smartphones can perform much more task than traditional phones, the smartphones are no longer just a communication device but also considered as a powerful computing device which able to capture images, record videos, surf the internet and etc. With advancement of technology, it is possible to apply some techniques to perform text detection and translation. Therefore, an application that allows smartphones to capture an image and extract the text from it to translate into English and speech it out is no longer a dream. In this study, an Android application is developed by integrating Tesseract OCR engine, Bing translator and phones' built-in speech out technology. Final deliverable is tested by various type of target end user from a different language background and concluded that the application benefits many users. By using this app, travelers who visit a foreign country able to understand messages portrayed in different language. Visually impaired users are also able to access important message from a printed text through speech out feature.
机译:智能手机在今天日常生活中被称为最常用的电子设备。由于智能手机的硬件可以比传统电话执行更多的任务,智能手机不再只是通信设备,而且还被认为是能够通过技术进步捕获图像,记录视频,互联网等的功能强大的计算设备。 ,可以应用一些技术来执行文本检测和翻译。因此,一个允许智能手机捕获图像并从中提取文本以将其翻译成英文并演讲的应用程序不再是梦想。在本研究中,通过集成TESSERACT OCR发动机,Bing翻译和手机内置语音技术来开发Android应用程序。最终可交付的可通过来自不同语言背景的各种目标最终用户测试,并得出结论,该应用程序利益许多用户。通过使用此应用程序,访问外国的旅行者能够了解以不同语言描绘的消息。视视障碍用户还能够通过语音出电功能从印刷文本访问重要信息。

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