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Scene text extraction in complex images

Authors
Byun, HRRoh, MCKim, KCChoi, YWLee, SW
Issue Date
Aug-2002
Publisher
SPRINGER-VERLAG BERLIN
Citation
DOCUMENT ANALYSIS SYSTEM V, PROCEEDINGS, v.2423, pp 329 - 340
Pages
12
Journal Title
DOCUMENT ANALYSIS SYSTEM V, PROCEEDINGS
Volume
2423
Start Page
329
End Page
340
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16621
DOI
10.1007/3-540-45869-7_38
ISSN
0302-9743
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.
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Choi, Yeong Woo
공과대학 (소프트웨어학부(첨단))
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