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Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter

  • Shauvik Paul
  • Satadal SahaEmail author
  • Subhadip Basu
  • Punam Kumar Saha
  • Mita Nasipuri
Article
  • 42 Downloads

Abstract

Localization of text from camera captured images with complex background is now-a-days a growing demand of modern IT enable service. Most of the current text localization techniques are sensitive to text features like color, size, style and also to the background clutter. Among all the methods proposed in different literatures, Stroke Filter is much more effective in localization of text. The effectiveness of traditional stroke filter is limited because of its fixed width and is capable of segmenting strokes/texts of predefined range of width. The proposed method uses Fuzzy Distance Transform based adaptive stroke filter which can effectively localize text regions from camera captured images with complex background. The method is applied by experiment on a database containing 600 images and the visual response of text segmentation is quite impressive. To get the accuracy of the proposed method, it is applied on a set of 16 test images and the segmentation result is compared with the ground truth images resulting in a recall, precision and f-measure values of 96.65%, 87.77% and 91.89% respectively.

Keywords

Collision impact Fuzzy distance transform Quench pixel Skeletonization Stroke filter Text localization 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Shauvik Paul
    • 1
  • Satadal Saha
    • 2
    Email author
  • Subhadip Basu
    • 3
  • Punam Kumar Saha
    • 4
  • Mita Nasipuri
    • 3
  1. 1.MCA DepartmentTechno IndiaSalt LakeIndia
  2. 2.ECE DepartmentMCKV Institute of EngineeringHowrahIndia
  3. 3.CSE DepartmentJadavpur UniversityKolkataIndia
  4. 4.Department of RadiologyUniversity of IowaIowa CityUSA

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