Recognition All Types of Premises Permits
Fast and accurately recognize all types of Premises Permit
Support premises permit recognition and output of full-field information, for example, premises permit information , support premises permit number , premises location , premises characteristic , register time , application , common own situation , owner , building area etc.
Powerful image processing core , premises permit automatically classification
Support Multiple Hardware Configurations
GPU and CPU core recognition algorithm
Powerful Image Processing
Intelligent edge detection, support automatic rotation, inclination correction, complex background trimming and other image processing
Multiple Deployment Methods
Support privatized deployment of Windows and Linux servers
Output Structural Data
Return JSON, XML recognition results
Provide Standard API
Provide standard HTTP, WebService API, support C++, C#, JAVA and other development language calls
Self-owned OCR Recognition Engine
- Self-owned OCR Recognition Engine, Recognize premises permit information more accurately
- Support automatic rotation and recognition of the documents at such angles as 90°, 180° and 270°
Ensure Data Security
- Deploy with enterprise intranet to meet users' requirements for data security
- Single image can be recognized within a second
High Recognition Accuracy
- Independent training with a large amount of true samples was conducted to enhance the feature extraction accuracy of the model. The recognition accuracy is high.
- Adaptable to various abnormal condition in actual use, namely, uneven illumination, inclination, ambiguity, etc.
- Loan Service
- Corporate Loan
- Housing Authority
Banks and other finance institutions must audit the qualifications of the customers which include personal audit, real estate certificates, real estate registration certificates and real estate certificates to decide whether or not to loan money and how much to loan to the applicant. And the ID document is also necessary to authenticate the identity of the loan applicant during lending business. Wintone OCR technology is able to extract the information from the above documents to shorten and simplify the process and thus make customer more satisfied.
At present, the credit review work for a company applies for a loan is still doing manual review. Some companies have an urgent need for loans. For bank credit review, staff input data manually from the pile of credit review data documents. This is inefficiency with high review pressure. Wintone OCR identification service can identify and input enterprise qualifications quickly such as enterprise account opening permits, real estate certificates, real estate registration certificates, and real estate ownership certificates, and improve the efficiency of corporate loan processing.
When public applies for business such as changing the real estate certificate, buying and selling houses, the staff need to collect information such as the applicant's certificate, real estate certificate, etc., and the information is collected manually, which is inefficient and easy to make mistakes. Wintone OCR identification service can identify all fields of information quickly such as the real estate certificate number, the location of the house, the property of the house, the time of registration, the owner of the property, etc., to meet the needs of the staff in each field to improve the efficiency and accuracy of business processing.
Premises Permit Distinguish
The recommended: size of the image is about 200KB, and the bit depth is more than 24Recommended resolution of scanned image: 300dpi, less than 3m.
- Premises Permit
- JSON Data