skip to main content
10.1145/1878803.1878894acmconferencesArticle/Chapter ViewAbstractPublication PagesassetsConference Proceedingsconference-collections
extended-abstract

Text locating in scene images for reading and navigation aids for visually impaired persons

Published: 25 October 2010 Publication History

Abstract

Many reading assistants and navigation systems have been designed specifically for people who are blind or visually impaired, but text locating in scene image with complex background has not yet been successfully addressed. In this paper, we propose a novel method to locate scene text by combining color uniformity and high edge density together. We perform structural analysis of text strings which contain several characters in alignment. First, we calculate the edge image and then repaint the corresponding edge pixels in the original image by using a non-dominant color. Second, color reduction is performed by color histogram and K-means algorithms to segment the repainted image into color layers. Third, we perform edge detection and label the boundaries of both text characters and unexpected noises in each color layer. Each centroid is assigned a degree which is the number of overlap in the same position among color layers. Fourth, text line fitting among centroids with high degree is performed to cascade the character boundaries which belong to the same text string. The detected text string is presented by a rectangle region covering all character boundaries in its text line. Experimental results demonstrate that our algorithm is able to locate text strings with arbitrary orientations. The performance of our algorithm is comparable with the state-of-art algorithms.

References

[1]
Bigham, J., Kaminsky, R., Ladner, R. 2006. WebInSight: Making Web Images Accessible, ASSETS 2006, pp. 181--188.
[2]
Liu, Q., Jung, C., and Moon, Y. 2006. Text Segmentation based on Stroke Filter, Proc. Int. Conf. on Multimedia.
[3]
Lucas, S. M. 2005. ICDAR 2005 text locating competition results. Proc. ICDAR 2005, Vol. 1, pp. 80--84.
[4]
Nikolaou, N., and Papamarkos, N. 2009. Color Reduction for Complex Document Images. International Journal of Imaging Systems and Technology, Vol.19, pp.14--26.
[5]
Phan, T., Shivakumara, P., and Tan, C. L. 2009. A Laplacian Method for Video Text Detection. ICDAR, pp. 66--70.
[6]
Thillou C. M. 2007. Color text extraction with selective metric-based clustering. Computer Vision and Image Understanding Vol. 107, pp. 97--107.

Cited By

View all
  • (2024)TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo LabelsProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658075(275-284)Online publication date: 30-May-2024
  • (2022)New Text Detection Technique Using Machine Learning ArchitectureFlexible Electronics for Electric Vehicles10.1007/978-981-19-0588-9_1(1-10)Online publication date: 5-Oct-2022
  • (2017)FingerReader: A Finger-Worn Assistive AugmentationAssistive Augmentation10.1007/978-981-10-6404-3_9(151-175)Online publication date: 12-Nov-2017
  • Show More Cited By

Index Terms

  1. Text locating in scene images for reading and navigation aids for visually impaired persons

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ASSETS '10: Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
    October 2010
    346 pages
    ISBN:9781605588810
    DOI:10.1145/1878803

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 October 2010

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. boundary centroid
    2. color-based segmentation
    3. navigation
    4. reading assistant
    5. text line fitting
    6. text locating
    7. visual impairment

    Qualifiers

    • Extended-abstract

    Conference

    ASSETS '10
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 436 of 1,556 submissions, 28%

    Upcoming Conference

    ASSETS '25

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 20 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo LabelsProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658075(275-284)Online publication date: 30-May-2024
    • (2022)New Text Detection Technique Using Machine Learning ArchitectureFlexible Electronics for Electric Vehicles10.1007/978-981-19-0588-9_1(1-10)Online publication date: 5-Oct-2022
    • (2017)FingerReader: A Finger-Worn Assistive AugmentationAssistive Augmentation10.1007/978-981-10-6404-3_9(151-175)Online publication date: 12-Nov-2017
    • (2016)End to End Text Recognition from Natural SceneProceedings of the International Conference on Informatics and Analytics10.1145/2980258.2980356(1-5)Online publication date: 25-Aug-2016

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media