Text information identification method and system

Abstract

The invention relates to a text information identification method and a system. The method comprises the following steps: a client acquires an image containing text information, and sends the image to a cloud server; the cloud server receives the image, processes the image, and extracts characters of the text information in the image; the cloud server processes the characters and acquires the characteristics of the characters; according to the characteristics of the characters, the cloud server queries a characteristic library set on the cloud server and performs characteristic matching with the characters in the characteristic library, so as to identify the characters, and further identify the text information; and the cloud server sends the identified text information to the client. In the invention, the client uploads the image to the cloud server, so that the identification process is performed on the cloud server. As the cloud server has strong computing power and expansion capability, the performance of the cloud server can meet the requirements of the characteristic library, the characteristic library and the identification capability are not limited by a user computer; the text information can be accurately identified; and the text information identification method and system is simple and efficient, and the identification rate is greatly improved.

Description

【Technical field】 [0001] The invention relates to an information processing technology, in particular to a text information recognition method and system. 【Background technique】 [0002] At present, the text information on paper documents or pictures cannot be used directly, and needs to be manually input when using it. To replace manual input, OCR (Optical Character Recognition) technology is usually used to recognize text information. [0003] However, when using the traditional OCR technology, users need to install a huge client software and require the computer hardware for recognition to have sufficient processing performance. OCR technology mainly faces paper materials, and many issues need to be considered in the recognition scene, so the recognition rate will be restricted by complex factors. The core technical indicator of the recognition rate is the feature library. Since the user's computer hardware and processor performance usually do not have sufficient requi...

AI Technical Summary

Problems solved by technology

Since the ability of error correction depends on the amount of information in the feature library, the feature library is limited by the performance of the machine, which greatly limits the ability of error correction and further reduces the recognition rate.

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