Day markings detection in natural photo with morphological method

Author

Meng, Long ; Wang, Guijin ; Xu, Lidong ; Lin, Xinggang

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

2003

fDate

15-18 Dec. 2003

Firstpage

778

Abstract

Day marking is one of valuable information for many applications such as image retrieval and indexing. In this paper, a novel automatic scheme is presented for day marking detection from color photographs. First, taking advantages of the stroke thickness, gray-scale morphologic method is specially proposed to generate the bounding box in R-component domain, where the day texts are located and the background influence can be reduced. Then binarization module is set to favor character recognition, where some post-processing is taken to remove white-dot noise and fill the holes in the strokes. Finally the binarized image should be segmented and fed to OCR module so that the characters of the day marking can be recognized. Simulations show the effectiveness of our method.

Keywords

colour photography; image retrieval; image segmentation; indexing; optical character recognition; OCR module; R-component domain; binarized image segmentation; color photograph; day marking detection; gray-scale morphologic method; natural photo; optical character recognition; Character generation; Character recognition; Data mining; Gray-scale; Image edge detection; Image retrieval; Image segmentation; Indexing; Information retrieval; Optical character recognition software;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on

Print_ISBN

0-7803-8185-8

Type

conf

DOI

10.1109/ICICS.2003.1292562

Filename

1292562