OCR (Optical Character Recognition) technology is a technology that converts the text content in the document into text information that can be edited and processed by scanning or photographing the document. This technology has a wide range of applications in many fields, especially in the identification of real estate deeds, it plays an important role. Wuhan Chuzhi Technology independently developed a real estate certificate OCR identification product, which supports the identification output of all fields such as real estate certificate number, house location, house nature, registration time, owner, etc., with second-level response, recognition accuracy of more than 99%, supports the identification of different layouts of real estate certificates, provides the deployment of a variety of product forms, and effectively solves the problems of difficult real estate information entry, error-prone, time-consuming, and high cost in business scenarios.
Features:
1. Full field recognition: support the identification and output of all fields such as the location, year of issuance, property right number, right holder, obligor, address, nature type, and other matters of the real estate registration certificate;
2. Powerful image processing function: intelligent edge inspection, support automatic rotation, deviation correction, cropping and other processing of the image of the real estate registration certificate;
3. Full range of identification: it can quickly and accurately identify multiple versions of real estate certificates;
4. Multiple deployment methods: real estate registration certificate recognition supports the privatization deployment of Windows and Linux servers, and is used in unique scenarios, such as the offline scenario of the APP mobile terminal can also support SDK mode;
5. Support a variety of hardware configurations: CPU core > GPU core are equally supported, and can be used according to scenarios;
6. Provide standard interfaces: provide standard http and webservice interfaces, and support various development language calls such as C++, C, and J**A.
Application Scenarios:
Real Estate Registration System:When registering real estate, OCR technology can automatically identify the information on the real estate certificate, such as the owner of the house, the location of the house, the area of the house, etc., which greatly improves the processing efficiency and accuracy, reduces the possibility of manual entry errors, and ensures the accuracy of the data.
Real Estate Agents & Sales:In the field of real estate agency and sales, OCR technology can help salespeople quickly identify the information on the real estate certificate, provide customers with more accurate and comprehensive real estate information, which can be used to verify the authenticity and validity of the real estate certificate and reduce transaction risks.
Banking Loans:When processing a loan application, banks usually need to verify the authenticity and validity of the title deed. OCR real estate certificate recognition technology can help banks quickly and accurately process a large amount of real estate certificate information, improve processing efficiency, and reduce the cost and risk of manual review, and can also be used to automate the loan approval process and improve approval efficiency.
**Regulatory and Enforcement:In the field of supervision and law enforcement, OCR technology can be used to automatically identify the information on the real estate certificate, strengthen the supervision and law enforcement of the real estate market, timely detect and investigate violations of laws and regulations, and maintain market order and consumer rights and interests.