TY - GEN
T1 - A new hybrid method to detect text in natural scene
AU - Zhou, Gang
AU - Liu, Yuehu
AU - Tian, Zhiqiang
AU - Su, Yuanqi
PY - 2011
Y1 - 2011
N2 - In this paper, a new hybrid method for text detection in natural scene is proposed. According the linguistics rules, this algorithm mainly consists of three parts. First, considering both unary property and binary relationship, the conditional random field (CRF) model is introduced for text region detection. Second, connected components (CCs) are extracted by similar stroke width, and filtered coarsely by stroke width analysis. Candidate CCs are then filtered by candidate regions. Finally, text CCs are clustered into words by geometry heuristics. Experiments on the public benchmark ICDAR 2003 dataset show that proposed algorithm can detect text with various font sizes in natural scene.
AB - In this paper, a new hybrid method for text detection in natural scene is proposed. According the linguistics rules, this algorithm mainly consists of three parts. First, considering both unary property and binary relationship, the conditional random field (CRF) model is introduced for text region detection. Second, connected components (CCs) are extracted by similar stroke width, and filtered coarsely by stroke width analysis. Candidate CCs are then filtered by candidate regions. Finally, text CCs are clustered into words by geometry heuristics. Experiments on the public benchmark ICDAR 2003 dataset show that proposed algorithm can detect text with various font sizes in natural scene.
KW - CRF
KW - Text detection
KW - linguistics rules
KW - stroke width analysis
UR - https://www.scopus.com/pages/publications/84863062020
U2 - 10.1109/ICIP.2011.6116199
DO - 10.1109/ICIP.2011.6116199
M3 - 会议稿件
AN - SCOPUS:84863062020
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2605
EP - 2608
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -