A Character Extracting Method from Complex Background
Zhang Er · Journal of Xi'an University of Technology · 1999
Extracting characters to be recognized from the complex background with noises and uneven gray levels is a key step to recognize characters. This paper presents a method of combining the simple statistic method with Roberts edge detection to carry out the image binary, on the basis of which the method of analysis of H S connectivity is used to remove the complex background block. The recognized characters are extracted right by processing fifty images on 586/AMDK 6/200 computers and the executing time is less than one second.