Image based Text Translation using Firebase ML Kit

At present, people use mobile phones to capture every important moment. In addition, smart phones are widely used for taking screen shots so important information can be saved. Image-based Text Extraction has a growing requirement in today’s generation. Educational organizations, medical and banking, engineering sectors generate lot of images every day. It is essential to extract text from these images in a simple yet effective manner. Text Extraction involves a lot of processes such as text detection, localization, segmentation and, text recognition. The Optical character Recognition (OCR) System involves several algorithms that fulfill this purpose. Tesseract is the one of the OCR Engine build by HP Labs and owned by Google. Google's ML kit is also one of the optimized technology build and owned by Google and It provide methods for easy text extraction. Once the text is extracted it can be translated using different API’s available for Language translation. Google translate API is the most popular and accurate technology so far. Also, many mobile applications are available to translate from English to other languages and vice versa. The Proposed system aims to detect, recognize and extract the text from images with plain white as well as color and complex background. It uses Machine Learning technology to extract text from image and then translate it into available set of languages. This application can be useful to overcome the language barrier among tourists, who are visiting other countries. So, by using this application they can get the right information wherever it is needed and it will make communication more easier.