TY - GEN
T1 - Scene text detection using sequential nontext filtering
AU - Wang, Qingqing
AU - Lu, Yue
AU - Wen, Ying
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/9
Y1 - 2015/12/9
N2 - We present a scene text detection method based on sequential nontext filtering. Firstly, we start our work with multi-channel maximally stable extremal region (MSER) detection. Then nontext components are eliminated by a four-stage sequential nontext filtering strategy which consists of inner-channel MSER pruning, between-channel MSER pruning, unary feature-based nontext filtering, and binary feature-based nontext filtering. Finally, text components are grouped into words and false positives are eliminated. The proposed method achieves the state-of-the-art on the ICDAR2013 database when compared with some existing methods.
AB - We present a scene text detection method based on sequential nontext filtering. Firstly, we start our work with multi-channel maximally stable extremal region (MSER) detection. Then nontext components are eliminated by a four-stage sequential nontext filtering strategy which consists of inner-channel MSER pruning, between-channel MSER pruning, unary feature-based nontext filtering, and binary feature-based nontext filtering. Finally, text components are grouped into words and false positives are eliminated. The proposed method achieves the state-of-the-art on the ICDAR2013 database when compared with some existing methods.
KW - MSER
KW - binary features
KW - repeating components
KW - sequential nontext filtering
KW - unary features
UR - https://www.scopus.com/pages/publications/84956640360
U2 - 10.1109/ICIP.2015.7351099
DO - 10.1109/ICIP.2015.7351099
M3 - 会议稿件
AN - SCOPUS:84956640360
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1742
EP - 1746
BT - 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PB - IEEE Computer Society
T2 - IEEE International Conference on Image Processing, ICIP 2015
Y2 - 27 September 2015 through 30 September 2015
ER -