Image processing device and image processing method

Abstract

An image processing device that selects the character pixel number of the grayscale with the largest number of pixel pixels and the character pixel number of the grayscale with the second largest number of character pixels The character candidate component after removing the non-character components in the grayscale is used as the output image, and there is no meaning between the character pixel number of the grayscale with the largest number of character pixels and the character pixel number of the grayscale with the second largest number of character pixels In the case of the difference, the character candidate component obtained by removing the non-character components in the grayscale with the smallest number of edge pixels is selected as the output image.

Description

[0001] This international application is based on Japanese Patent Application No. 2012-060477 (filing date: March 16, 2012), and priority is claimed based on this application. This international application incorporates the entire contents of this application by reference thereto. technical field [0002] Embodiments of the present invention relate to an image processing device and an image processing method for extracting characters from image data. Background technique [0003] Conventionally, there is known a technique for extracting characters by removing the trimmed parts when image data includes trimmed characters. As a specific method, there is the following technology: After converting the image data into a binary image, the characters are cut out according to each grayscale, and it is determined whether the cut out characters are normal characters or hollow characters. Image correction for conversion to normal characters, and characters are acquired. In addition, ...

AI Technical Summary

Problems solved by technology

[0004] However, when extracting characters by conventional image processing, it may be difficult to cut out characters when the edges are thick or when characters touch each other.

Also, in the case of using character recognition dictionaries, calculations are performed by combining multiple character recognition dictionaries, so the amount of calculation tends to increase.

Images