Character segmentation of color images from digital camera
Kongqiao Wang, Jari A. Kangas, Wenwen Li · 2002
Because of the lack of prior knowledge about the color of characters and the disturbance caused by lighting conditions and noise, character segmentation from scene images is a very difficult issue. In this paper, a novel character segmentation method for color images from a digital camera is presented, combining edge detection, a watershed transform and clustering. Since the characters extracted from color images are output in a binary format, they can be input directly to an OCR system for recognition. Experimental results have proven the method's effectiveness.