Scene Text Extraction in Complex Images

Authors:
Hye-Ran Byun;Myung-Cheol Roh;Kil-Cheon Kim;Yeong-Woo Choi;Seong-Whan Lee
Affiliations:
-;-;-;-;-
Venue:
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Year:
2002

Citing 2
Cited 1

Recognizing Characters in Scene Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Extraction of Characters from Color Scene Image Using Mathematical Morphology

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2

An automated HSV based text tracking system from complex color video

ICDCIT'11 Proceedings of the 7th international conference on Distributed computing and internet technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Text extraction and recognition from still and moving images have many important applications. But, when a source image is an ordinary natural scene, text extraction becomes very complicated and difficult. In this paper, we suggest text extraction methods based on color and gray information. The method using the color image is processed by color reduction, color clustering, and text region extraction and verifications. The method using the gray-level image is processed by edge detection, long line removal, repetitive run-length smearing (RLS), and text region extraction and verifications. Combining two approaches improves the extraction accuracies both in simple and in complex images. Also, estimating skew and perspective of the extracted text regions are considered.