DocumentCode :
1616538
Title :
A Novel Text Detection Approach Based on Multi-Structure Element of Morphology
Author :
Li, Minhua ; Bai, Meng
Author_Institution :
Dept. of Electr. & Inf. Eng., Shandong Univ. of Sci. & Technol., Jinan, China
fYear :
2012
Firstpage :
1438
Lastpage :
1441
Abstract :
A novel text detection method based on multi-structure elements of morphology is presented to extract text lines in this paper. Firstly, a multi-structure elements of morphology-based scheme is executed to extract contrast edges from color images. Then connected component analysis and a cascade classification scheme are adopted to obtain candidate text lines. Finally, a projection based method is applied to extract character characteristics to filter out impossible text lines. Experimental results indicate that the proposed method can effectively detect text lines in different font-size, language and background complexity.
Keywords :
edge detection; feature extraction; statistical analysis; text detection; background complexity; cascade classification scheme; color images; connected component analysis; contrast edge extraction; morphology-based scheme; multistructure element; novel text detection approach; text line detection; text line extraction; Industrial control; Edge detection; Morphology; Multi-structure element; Text detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.379
Filename :
6322668
Link To Document :
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