An OCR identification method and electronic equipment thereof

Abstract

The invention discloses an OCR recognition method. The method comprises the steps of obtaining a to-be-recognized image of business party data; Inputting the to-be-identified image into a general OCRtemplate for identification to obtain text information recorded in the to-be-identified image and position information corresponding to the text information, Wherein the universal OCR template comprises a detection model and a universal identification model, and the universal identification model is obtained by training field image samples of various service types of a service party; And synthesizing the text information and the position information corresponding to the text information into structured identification data. The invention further provides an OCR electronic device. According to the OCR identification method and the electronic equipment thereof, the image of the to-be-identified object (such as a contract, an invoice, a bill, a certificate and the like) can be efficiently andrapidly identified through the general OCR template, the structured identification data is generated, and the identification from the optical character to the text information is completed. The universal OCR template adopted in the method is short in training time, high in adaptability, capable of adapting to various different to-be-identified objects, high in identification accuracy and high in overall efficiency in the identification process.

Description

technical field [0001] The present application relates to the field of image recognition, and more specifically, to an OCR recognition method and electronic equipment thereof. Background technique [0002] OCR (Optical Character Recognition, Optical Character Recognition) mainly generates text output by recognizing the optical characters displayed on the carrier. Taking the OCR recognition of paper documents as an example, data such as text information can be obtained by collecting optical characters obtained from prints on paper documents and recognizing them. [0003] The OCR recognition method in the prior art often relies on the characteristics of the recognized object to carry out personalized template customization. For example, for the recognized objects such as bills, newspapers, teaching materials, etc., and even for optical character recognition of different font sizes and fonts, it is necessary to re- Only by customizing the corresponding OCR template can a speci...

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Problems solved by technology

[0005] In view of the above problems, this application proposes an OCR recognition method and its electronic equipment, which can solve the problem of long training time, low efficiency of custom recognition templates, difficulty in transfer to other recognition objects, and custom optical character recognition templates are susceptible to character changes. Influenced by factors such as custom optical character recognition templates have a strong dependence on objects, at least one technical defect that affects the efficiency of OCR recognition

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