AdaBoost for text detection

نویسندگان

  • Jung-Jin Lee
  • Pyoung-Hean Lee
  • Christof Koch
  • Alan Yuille
چکیده

Detecting text regions in natural scenes is an important part of computer vision. We propose a novel text detection algorithm that extracts six different classes features of text, and uses Modest AdaBoost with multi-scale sequential search. Experiments show that our algorithm can detect text regions with a f= 0.70, from the ICDAR 2003 datasets which include images with text of various fonts, sizes, colors, alphabets and scripts. Keywords-text detection; text location; AdaBoost;

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تاریخ انتشار 2011