Preprocessing equipment and method for distinguishing image character

公开了一种用于识别图象中的字符的设备和方法。输入部件接收图象。模糊判定部件将所接收的图象分类成字符块和背景块，计算该字符块的平均能量比，以及将该平均能量比与预定阈值进行比较以便判定所接收的图象是否模糊。如果所接收的图象不模糊，图象二进制部件将所接收的图象分类成字符块和背景块，将该字符块中的像素与像素阈值进行比较，根据比较结果，将该字符块中的像素二进制化为用于字符像素的亮度值和用于背景像素的亮度值，以及将该背景块中的像素二进制化为用于背景像素的该亮度值。字符识别部件识别该二进制化图象中的字符。 Disclosed is a device for recognizing characters in an image. An input part receives the image. A blurring decision part classifies the received image into character blocks and background blocks, calculates an average energy ratio of the character blocks, and compares the average energy ratio with a predetermined threshold to decide whether or not the received image is blurred. If the received image is not blurred, an image binarization part classifies the received image into character blocks and background blocks, compares pixels in the character blocks with a pixel threshold, binarizes the pixels in the character blocks into a brightness value for a character pixel and a brightness value for a background pixel according to the comparison result, and binarizes pixels in the background blocks into the brightness value for a background pixel. A character recognition part recognizes characters in the binarized image.