Document capturing and recognition technology
Document photo Recognition Technical requirements background:
In the very scene is involved in the paper document Chinese character input, the traditional mobile phone entry speed is very slow, poor experience. To address these needs, we have introduced a document recognition technology that automatically recognizes text when a paper document is photographed using a mobile phone or tablet. Currently support Android and iOS mainstream operating platform, provide SDK development package, support two times development. Can be integrated into a variety of apps, the integration will be able to take photos to recognize the image text function.
Compared to the traditional manual input method, OCR (Optical Character recognition, optical character recognition) Intelligent input has a strong advantage, OCR recognition speed far faster than manual input, improve user experience, reduce the manual input time, OCR technology can provide users with high-efficiency, low-cost data acquisition solutions, so as to provide strong support for rapid business development.
Our document recognition engine uses Tsinghua TH-OCR core technology, built-in rich and efficient image processing technology, providing a flexible and rich API interface, is a high performance data acquisition solution, is the user to improve business efficiency, reduce operating costs is a good choice.
Document photo Recognition technical performance parameters:
Document recognition Technology identification type
Printed: Chinese (Simplified and Traditional), English, digital
Handwriting: Chinese (Simplified and Traditional), English, digital
Document recognition technology recognition speed
The recognition speed of single image is less than 1 seconds;
Recognition rate of document photo recognition technology
99.96% accuracy for the identification of printed characters with neat layout
For the standard handwritten numerals, English recognition, the correct rate of up to 98.5%
Document capturing and recognition technology