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
Based on the phone - end text OCR recognition technology
1. Based on the mobile end text OCR identification technology product profile
In many business scenarios, the entry of words in the natural scene is involved, and the traditional manual entry speed is very slow and the experience is poor. According to these requirements, we developed the Android, ios OCR recognition technology based on mobile terminal, the use of mobile phones or tablets photograph under natural scene text, can quickly identify the text information. Currently support Android, ios operating platform, provide SDK development package, support secondary development. It can be integrated into various apps, and it can acquire the function of photo recognition text after integration.
Ii. Identification of technical products based on the mobile end text OCR:
1. Identification type: Chinese (simplified traditional), English, number
2. Identification speed: the recognition speed of single image is less than 2 seconds;
Iii. Basic configuration requirements of the technology based on the mobile terminal text OCR
1. Operating system: support Androidd 2.3 above, ios 7.0 and above;
2. Camera: support automatic focus, over 2 megapixels.
3. SDK takes up space, 5Mbytes
4. Use the specification of OCR identification technology based on mobile terminal text
1. Standardized shooting helps improve the recognition rate
2. Light, pay attention to the influence of lighting, avoid reflections and shadows;
3. Angle, do not Angle the shooting Angle too large, in order to avoid the serious change of the image;
4. Focus, focus on clarity, and avoid text ambiguity.
Based on the phone - end text OCR recognition technology
Sales support:
Contact person: liao renjun
Mobile phone: 1314 631 7170
E-Mail:398017534@qq.com
Website: www.sjocr.com