Character segmentation of color images from digital camera

Author

Wang, Kongqiao ; Kangas, Jari A. ; Li, Wenwen

Author_Institution

Human Interface Technol., Nokia (China) Res. Center, Beijing, China

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

210

Lastpage

214

Abstract

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

Keywords

document image processing; edge detection; image colour analysis; image segmentation; lighting; optical character recognition; pattern clustering; transforms; OCR system; binary format; character color; character extraction; character segmentation; color clustering; color images; digital camera; edge detection; lighting; noise; optical character recognition; scene images; watershed transform; Anisotropic magnetoresistance; Character recognition; Color; Colored noise; Digital cameras; Image edge detection; Image segmentation; Layout; Optical character recognition software; Optical noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7695-1263-1

Type

conf

DOI

10.1109/ICDAR.2001.953785

Filename

953785