Article

Color-based clustering for text detection and extraction in image

Authors:

Jian Yi,

Yuxin Peng,

Jianguo XiaoAuthors Info & Claims

MM '07: Proceedings of the 15th ACM international conference on Multimedia

Pages 847 - 850

https://doi.org/10.1145/1291233.1291426

Published: 29 September 2007 Publication History

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Abstract

This paper proposes a new approach for the text detection and extraction in image. The novelty of our approach mainly lies in the color-based clustering into two phases: In text detection phase, we consider jointly the two significant features of text regions in image: homogeneous color and sharp edges, and color-based clustering is employed to decompose the color edge map of image into several edge maps, which makes the text detection of image more accurate. In text extraction phase, on one hand, for effective text recognition, we consider the color difference between the text and background in image, and color-based clustering is utilized to remove image noise. Another hand, for effective binarization of text region, instead of performing binarization in a constant color plane as in the existing methods, our approach can adaptively select the best color plane according to the text contrast difference among color planes for binarization. Experimental results show our approach is better than the existing methods.

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Sun JWang JLiu TCheng BLi Y(2023)Design of an Access Control System for Unmanned Bathroom Based on Image Processing Technology2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)10.1109/EEBDA56825.2023.10090513(1171-1175)Online publication date: 24-Feb-2023
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Pal DSingh AAlladi A(2022)SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)10.1109/CONECCT55679.2022.9865711(1-6)Online publication date: 8-Jul-2022
https://doi.org/10.1109/CONECCT55679.2022.9865711
Singh MD RPandian DSadana A(2021)Surface Automation - Interacting with Applications using Black Box Approach2021 6th International Conference for Convergence in Technology (I2CT)10.1109/I2CT51068.2021.9417891(1-6)Online publication date: 2-Apr-2021
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Index Terms

Color-based clustering for text detection and extraction in image
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections

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Information & Contributors

Information

Published In

MM '07: Proceedings of the 15th ACM international conference on Multimedia

September 2007

1115 pages

ISBN:9781595937025

DOI:10.1145/1291233

General Chairs:
Rainer Lienhart
University of Augsburg, Germany
,
Anand R. Prasad
DoCoMo Euro-Labs,Germany
,
Program Chairs:
Alan Hanjalic
Delft University of Technology, The Netherlands
,
Sunghyun Choi
Seoul National University, South Korea
,
Brian Bailey
University of Illinois at Urbana-Champaign
,
Nicu Sebe
University of Amsterdam, The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 September 2007

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MM07

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MM07: The 15th ACM International Conference on Multimedia 2007

September 25 - 29, 2007

Augsburg, Germany

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Sun JWang JLiu TCheng BLi Y(2023)Design of an Access Control System for Unmanned Bathroom Based on Image Processing Technology2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)10.1109/EEBDA56825.2023.10090513(1171-1175)Online publication date: 24-Feb-2023
https://doi.org/10.1109/EEBDA56825.2023.10090513
Pal DSingh AAlladi A(2022)SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)10.1109/CONECCT55679.2022.9865711(1-6)Online publication date: 8-Jul-2022
https://doi.org/10.1109/CONECCT55679.2022.9865711
Singh MD RPandian DSadana A(2021)Surface Automation - Interacting with Applications using Black Box Approach2021 6th International Conference for Convergence in Technology (I2CT)10.1109/I2CT51068.2021.9417891(1-6)Online publication date: 2-Apr-2021
https://doi.org/10.1109/I2CT51068.2021.9417891
Li ZZheng YCao LJiao LZhong YZhang C(2020)A Student's t‐based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clusteringColor Research & Application10.1002/col.2249145:4(656-670)Online publication date: 20-Feb-2020
https://doi.org/10.1002/col.22491
Mirza AFayyaz MSeher ZSiddiqi I(2018)Urdu Caption Text Detection using Textural FeaturesProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180098(70-75)Online publication date: 27-Mar-2018
https://dl.acm.org/doi/10.1145/3177148.3180098
Kumari LDey VRaheja J(2017)A Three-Layer Approach for Overlay Text Extraction in Video StreamSoft Computing: Theories and Applications10.1007/978-981-10-5699-4_9(79-87)Online publication date: 25-Nov-2017
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Sudir PRavishankar M(2015)An Effective Edge and Texture Based Approach towards Curved Videotext Detection and ExtractionInternational Journal of System Dynamics Applications10.4018/IJSDA.20150701014:3(1-29)Online publication date: 1-Jul-2015
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Yuan JWei BLiu YZhang YWang L(2015)A method for text line detection in natural imagesMultimedia Tools and Applications10.1007/s11042-013-1702-774:3(859-884)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1007/s11042-013-1702-7
Huang XMa HLing CGao G(2014)Detecting both superimposed and scene text with multiple languages and multiple alignments in videoMultimedia Tools and Applications10.1007/s11042-012-1201-270:3(1703-1727)Online publication date: 1-Jun-2014
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