Method, system, equipment and medium for identifying Chinese and English mixed merchant store names

Abstract

This disclosure discloses a method, system, device and medium for identifying Chinese and English mixed merchant store names, using the Chinese merchant store name segmentation PixelLink model to segment the text area of ​​the Chinese and English mixed merchant store name pictures to be recognized, and segmenting M segmented text Area; use the English merchant store name to segment the PixelLink model to segment the text area of ​​the Chinese-English mixed merchant store name picture to be recognized, and segment N segmented text areas; select the area from the M and N segmented text areas The largest text area; the two screened text areas with the largest area are spliced ​​to obtain the final segmented text area; the STN space transformation network is used to correct the offset of the final segmented text area; the Chinese and English mixed recognition CRNN model is used to Character recognition is performed on the corrected text area, and Chinese recognition results and English recognition results are obtained.

Description

technical field [0001] The present disclosure relates to a method, system, device and medium for identifying Chinese and English mixed merchant store names. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] At present, when some merchants cooperate with Meituan, UnionPay and other companies to access the Internet, the merchants will provide the photo information of the front of the door for the partner to review, and the partner needs to manually check whether the font information in the photo is consistent with the text information provided by the merchant; Recognizing font information in photos has the disadvantages of low efficiency, heavy workload, and high error rate, so it is extremely necessary to combine artificial intelligence technology for assistance. [0004] In the process of realizing the present disclosure, the inventors found that ...

AI Technical Summary

Problems solved by technology

[0008] 1. There are interference items such as angle tilt in the photos uploaded by users, which reduces the definition of text edges, which will reduce the accuracy of model recognition;

[0009] 2. Since most merchant stores contain both Chinese and English characters, it is difficult to use the same model to accurately identify Chinese and English characters due to the fact that Chinese characters are all square characters and English characters are relatively slender.

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