Method and device for acquiring character area image and character recognition system

Abstract

The invention provides a character area image acquiring method, including: executing letter testing to at least two frames of target images, to obtain the candidate character area image on each frame of target image; executing inter-comparison process between the candidate character area image on one frame of target image with the candidate character area image on the other frames of target images that may contain the identical character content; if the difference between the inter-compared at least two candidate character area images is in the prearranged scope, determining that the at least two candidate character area images pertain to the character area image including the character content; and acquiring the character area images. The invention also provides a character area image acquiring method and a character recognition system. The technical scheme provided by the embodiment of the invention has passed the verification to the character testing result, and reduces the miss-detection probability of the character testing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for acquiring a character area image, and a character recognition system. Background technique [0002] The character recognition process mainly includes extracting a character region image corresponding to the character content from an image formed by photographing character data, performing character recognition based on the extracted character region image, and obtaining specific character content. [0003] see figure 1 , figure 1 It is a schematic diagram of the structure of the existing character recognition system. figure 1 Among them, the text detection module detects the text area image on a single frame image, and then the image processing module performs image quality optimization processing on the detected text area image, such as using filtering technology to filter out noise, followed by the text recognition module based on Text recogn...

AI Technical Summary

Problems solved by technology

[0006] However, on the one hand, due to the high cost of imaging equipment such as high-definition digital cameras and scanners, it is difficult to obtain these high-cost equipment in time in some cases; In the process, the text detection link used to obtain the text area image only gives the detection result based on the detection of a single frame image, and the text detection itself is greatly affected by interference factors, so the probability of false detection is still high

[0007] Therefore, in the existing text recognition process, the scheme for obtaining text area images still needs to be improved

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