News classification
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- 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.
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Number identification
Number identification
Number identification
Description of number identification
In many scenes involving text input, the traditional manual input speed is very slow, poor experience. In response to these demands, we introduced digital number recognition, which can automatically recognize text after taking pictures of paper documents with any camera. Currently, it supports the mainstream operating platforms of Windows, android and ios, provides SDK development kit and supports secondary development. Can be integrated into a variety of applications, integration can be taken photos to identify the text function.
Digital number identification advantage
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 company adopts the OCR core technology for digital number identification, has rich and efficient image processing technology built in, and provides flexible and rich API interface. It is a data acquisition scheme with outstanding performance, and a good choice for users to improve business efficiency and reduce operating costs.
Performance parameters for number identification:
1. Digital number identification identification type
Print: Chinese (simplified), English, Numbers
Handwriting: Chinese (simplified Chinese), English, Numbers
2. Speed of digital number identification
The recognition speed of single image is less than 1 second;
3. Number recognition recognition rate
The correct recognition rate of printed characters is 99.96%
For the recognition of standard handwritten Numbers and English, the accuracy rate reached 98.5%
Description of number identification
In many scenes involving text input, the traditional manual input speed is very slow, poor experience. In response to these demands, we introduced digital number recognition, which can automatically recognize text after taking pictures of paper documents with any camera. Currently, it supports the mainstream operating platforms of Windows, android and ios, provides SDK development kit and supports secondary development. Can be integrated into a variety of applications, integration can be taken photos to identify the text function.
Digital number identification advantage
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 company adopts the OCR core technology for digital number identification, has rich and efficient image processing technology built in, and provides flexible and rich API interface. It is a data acquisition scheme with outstanding performance, and a good choice for users to improve business efficiency and reduce operating costs.
Performance parameters for number identification:
1. Digital number identification identification type
Print: Chinese (simplified), English, Numbers
Handwriting: Chinese (simplified Chinese), English, Numbers
2. Speed of digital number identification
The recognition speed of single image is less than 1 second;
3. Number recognition recognition rate
The correct recognition rate of printed characters is 99.96%
For the recognition of standard handwritten Numbers and English, the accuracy rate reached 98.5%