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Text Localization in Camera Captured Images Using Adaptive Stroke Filter

  • Shauvik Paul
  • Satadal Saha
  • Subhadip Basu
  • Mita Nasipuri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)

Abstract

Most of the text localization techniques are sensitive to text color, size, font and background clutter. They simply exploit the general segmentation rules or the prior knowledge about the text shape/size. As, inherently, a text consists of strokes of different sizes and orientations, so the concept of Stroke Filter is much more effective, particularly where text segmentation is taken into consideration. The problem with traditional stroke filter lies in its fixed width and is capable of segmenting strokes of predefined width. The proposed method uses adaptive stroke filter which can localize text regions, having varying stroke width, within camera captured images. The method is verified by experiment on a database containing 600 images.

Keywords

Stroke filter Text localization CCL Thickness measurement Binarization 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Shauvik Paul
    • 1
  • Satadal Saha
    • 2
  • Subhadip Basu
    • 3
  • Mita Nasipuri
    • 3
  1. 1.MCA DepartmentTechno IndiaSalt Lake, KolkataIndia
  2. 2.ECE DepartmentMCKV Institute of EngineeringHowrahIndia
  3. 3.CSE DepartmentJadavpur UniversityKolkataIndia

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