News classification
Contact us
- Add: No. 9, North Fourth Ring Road, Haidian District, Beijing. It mainly includes face recognition, living detection, ID card recognition, bank card recognition, business card recognition, license plate recognition, OCR recognition, and intelligent recognition technology.
- Tel: 13146317170 廖经理
- Fax:
- Email: 398017534@qq.com
The camera takes pictures and identifies the text
The camera takes pictures and identifies the text
The camera takes pictures and identifies the text
Camera photo identification text
In the very scene, it involves the entry of words, the traditional manual entry speed is very slow and the experience is poor. In response to these requirements, we have launched a camera photo identification text, which can automatically identify words after taking pictures of paper documents with any camera. Currently support Windows, android, ios mainstream operating platform, provide SDK development kit, support secondary development. It can be integrated into various applications, and it can obtain the function of photo recognition image after integration.
Camera takes advantage of text
Compared with the traditional way of manual entry, OCR (Optical Character Recognition, Optical Character Recognition) intelligent input has the advantages of strong OCR far faster than the speed of manual entry, improve the user experience degrees, reducing the manual input time, OCR techniques can provide users with high efficiency and low cost data acquisition scheme, thus provide powerful support for business development.
1. Camera recognition type of image recognition
Print: Chinese (simplified traditional), English, number
Handwriting: Chinese (simplified traditional), English, number
2. Camera recognition speed of camera recognition
The recognition speed of single image is less than 1 second;
3. Camera recognition rate for camera recognition
The accuracy of the printed character recognition is 99.96%
For the specification of handwritten digits and English recognition, the correct rate is 98.5%
Sales support:
Contact person: liao renjun
Mobile phone: 1314 631 7170
E-Mail:398017534@qq.com
---- official website: www.sjocr.com
Camera photo identification text
In the very scene, it involves the entry of words, the traditional manual entry speed is very slow and the experience is poor. In response to these requirements, we have launched a camera photo identification text, which can automatically identify words after taking pictures of paper documents with any camera. Currently support Windows, android, ios mainstream operating platform, provide SDK development kit, support secondary development. It can be integrated into various applications, and it can obtain the function of photo recognition image after integration.
Camera takes advantage of text
Compared with the traditional way of manual entry, OCR (Optical Character Recognition, Optical Character Recognition) intelligent input has the advantages of strong OCR far faster than the speed of manual entry, improve the user experience degrees, reducing the manual input time, OCR techniques can provide users with high efficiency and low cost data acquisition scheme, thus provide powerful support for business development.
Our camera photo identification text USES OCR core technology, rich built-in efficient image processing technology, provide flexible rich API interface, is outstanding performance data collection scheme, is the user to improve business efficiency, reduce the operation cost is very good choice.
1. Camera recognition type of image recognition
Print: Chinese (simplified traditional), English, number
Handwriting: Chinese (simplified traditional), English, number
2. Camera recognition speed of camera recognition
The recognition speed of single image is less than 1 second;
3. Camera recognition rate for camera recognition
The accuracy of the printed character recognition is 99.96%
For the specification of handwritten digits and English recognition, the correct rate is 98.5%
Sales support:
Contact person: liao renjun
Mobile phone: 1314 631 7170
E-Mail:398017534@qq.com
---- official website: www.sjocr.com