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Optical character recognition feature implementation in cooking recipe application using tesseract Google project

机译:使用tesseract Google项目在烹饪食谱应用程序中实现光学字符识别功能

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Development of cooking recipe application is not a new topic in this time, many available cooking recipe mobile application that serve in the developer application store that available for user to use it as their cooking assistant. But as the author review about the related work, the available cooking recipe application only serves the user the common features, like: show the list of recipes; search the recipe by the ingredient or by the title of the recipe. In this research the author intent to combine cooking mobile application technology with Optical Character Recognition technology by Implementing OCR feature in the cooking application as the additional feature that can be used in searching recipe(s) by using their camera to capture a new image or by simply choose the existing image. The development of the application is using tesseract Google project as the library for supporting the development of this application, and in the end of the research, the author will conclude whether text recognition feature that implemented in cooking recipes application could help the user in searching recipe or not.
机译:烹饪食谱应用程序的开发现在并不是一个新话题,在开发人员应用程序商店中提供的许多可用烹饪食谱移动应用程序可供用户用作其烹饪助手。但是随着作者对相关工作的评论,可用的烹饪食谱应用程序仅为用户提供一些共同的功能,例如:显示食谱列表;按成分或配方标题搜索配方。在这项研究中,作者打算通过在烹饪应用程序中实现OCR功能,将烹饪移动应用程序技术与光学字符识别技术相结合,作为可通过使用他们的相机捕获新图像或通过搜索食谱来搜索食谱的附加功能。只需选择现有图像即可。该应用程序的开发使用tesseract Google项目作为支持该应用程序开发的库,并且在研究结束时,作者将得出结论,在烹饪食谱应用程序中实现的文本识别功能是否可以帮助用户搜索食谱或不。

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