Dish name recognition method based on OCR

Abstract

The invention provides a dish name recognition method based on OCR, which belongs to the technical field of OCR. The method comprises the following steps: taking a photo of a menu; lining a region to be recognized on the menu photo conforming to the definition requirement; carrying out intelligent regulation on the region to be recognized; and using an OCR engine for recognizing the regulated recognized region to obtain recognition texts. The method utilizes a dish name knowledge base for correcting the recognition texts, selects results with the maximum matching degree as dish name recognition results, and filters out meaningless recognition results. The rectangular region to be recognized is determined according to specified coordinate points, and the intelligent regulation is carried out on the basis, so the noise in the recognition process is filtered out to the maximum degree, and the recognition effect of the OCR engine is improved. Users can upload the recognition results to the web pages of catering industry through network for propaganda and reservation after the web pages issue more dish name information, and at the same time, the invention also brings convenience for lots of gastronomists to know and select the respective delicacies.

Description

technical field [0001] The invention belongs to the technical field of OCR, relates to an OCR-based identification method, in particular to an OCR-based dish name identification method. Background technique [0002] OCR technology is the abbreviation of Optical Character Recognition (Optical Character Recognition). A computer input technique that converts image information into a stream of editable text-encoded characters. It can be applied to the input of a large amount of written materials, file files, and copywriting and the processing of bank bills. [0003] Camera phones are popular now, but camera-based applications are still lacking and have not played their due role. At present, OCR technology is very mature, but its application is still limited to the recognition of scanner images. Although it has been applied to high-end smart phones, such as Samsung SCH-i819 and LG G832, these phones can target business cards through cameras. etc., and store the recognition res...

AI Technical Summary

Problems solved by technology

[0003] Camera phones are popular now, but camera-based applications are still lacking and have not played their due role

At present, OCR technology is very mature, but its application is still limited to the recognition of scanner images. Although it has been applied to high-end smart phones, such as Samsung SCH-i819 and LG G832, these phones can target business cards through cameras. etc., and store the recognition results in the address book, but it is only a simple text recognition, and the recognition results need to be corrected manually

[0004] With the development of the catering industry and the acceleration of the pace of life, publishing catering information online has become a trend in the catering industry.

In addition, when customers are dining, especially foreign friends, they often want to record some relevant information about dishes they are interested in. However, due to the particularity of relevant information such as dish names, current smart phones are not very effective in identifying dish name information. There are often large errors

Images