AdaBoost for Text Detection in Natural Scene
Jung‐Jin Lee, Pyoung-Hean Lee, Seong–Whan Lee, Alan Yuille, Christof Koch · 2011
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.