TY - GEN
T1 - Text detection in natural scene images with user-intention
AU - Wang, Liuan
AU - Katsuyama, Yutaka
AU - Fan, Wei
AU - He, Yuan
AU - Sun, Jun
AU - Hotta, Yoshinobu
PY - 2013
Y1 - 2013
N2 - We propose an accurate and robust coarse-to-fine text detection scheme with user-intention which captures the intrinsic characteristics of natural scene texts. In the coarse detection stage, a double edge detector is designed to estimate the symmetry of stroke and the stroke width, which help segment the foreground. Then the initial user-intention region is extended to generate a coarse bounding box based on the estimated foreground. In the refinement stage, candidate connected components (CCs) from Niblack decomposition, are grouped together by location to form text lines after noise removal and layer selection. Experimental results demonstrate the effectiveness of the proposed method which yields higher performance compared with state-of-the-art methods.
AB - We propose an accurate and robust coarse-to-fine text detection scheme with user-intention which captures the intrinsic characteristics of natural scene texts. In the coarse detection stage, a double edge detector is designed to estimate the symmetry of stroke and the stroke width, which help segment the foreground. Then the initial user-intention region is extended to generate a coarse bounding box based on the estimated foreground. In the refinement stage, candidate connected components (CCs) from Niblack decomposition, are grouped together by location to form text lines after noise removal and layer selection. Experimental results demonstrate the effectiveness of the proposed method which yields higher performance compared with state-of-the-art methods.
KW - double edge symmetry
KW - greedy CCs grouping
KW - stroke width constraint
KW - text detection
UR - http://www.scopus.com/inward/record.url?scp=84897819765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897819765&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738465
DO - 10.1109/ICIP.2013.6738465
M3 - Conference contribution
AN - SCOPUS:84897819765
SN - 9781479923410
T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
SP - 2256
EP - 2259
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013
Y2 - 15 September 2013 through 18 September 2013
ER -