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An Effective Graph-cut Scene Text Localization with Embedded text Segmentation
Liu XQ(刘晓倩); Wang, Weiqiang; Xiaoqian Liu
First AuthorXiaoqian Liu
2015
Source PublicationMultimedia Tools and Applications
Correspondent Emailxiaoqian1112@gmail.com ; wqwang@ucas.ac.cn
ISSN1380-7501
SubtypeArticle
Volume74Issue:13Pages:4891-4906
Contribution Rank0
Abstract

This paper presents an effective and efficient approach to extracting scene text from images. The approach first extracts the edge information by the local maximum difference filter (LMDF), and at the same time a given image is decomposed into a group of image layers by color clustering. Then, through combining the characteristics of geometric structure and spatial distribution of scene text with the edge map, the candidate text image layers are identified. Further, in character level, the candidate text connected components are identified using a set of heuristic rules. Finally, the graph-cut computation is utilized to identify and localize text lines with arbitrary directions. In the proposed approach, the segmentation of text pixels is efficiently embedded into the computation of text localization as a part. The comprehensive evaluation experiments are performed on four challenging datasets (ICDAR 2003, ICDAR 2011, MSRA-TD500 and The Street View Text (SVT)) to verify the validation of our approach. In the comparison experiments with many state-of-the-art methods, the results demonstrate that our approach can effectively handle scene text with diverse fonts, sizes, colors, different languages, as well as arbitrary orientations, and it is robust to the influence of illumination change.

KeywordScene text Text localization Text segmentation Graph-cut
DOI10.1007/s11042-013-1848-3
URL查看原文
Indexed BySCI
Language英语
WOS IDWOS:000357130400021
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25734
Collection社会与工程心理学研究室
Corresponding AuthorWang, Weiqiang; Xiaoqian Liu
AffiliationUniv Chinese Acad Sci, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Liu XQ,Wang, Weiqiang,Xiaoqian Liu. An Effective Graph-cut Scene Text Localization with Embedded text Segmentation[J]. Multimedia Tools and Applications,2015,74(13):4891-4906.
APA Liu XQ,Wang, Weiqiang,&Xiaoqian Liu.(2015).An Effective Graph-cut Scene Text Localization with Embedded text Segmentation.Multimedia Tools and Applications,74(13),4891-4906.
MLA Liu XQ,et al."An Effective Graph-cut Scene Text Localization with Embedded text Segmentation".Multimedia Tools and Applications 74.13(2015):4891-4906.
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