A new method for word segmentation from arbitrarily-oriented video text lines

2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012

Volumn , Issue , 2012, Pages

  Sharma, Nabin ^a   Shivakumara, Palaiahnakote ^b   Pal, Umapada ^c   Blumenstein, Michael ^a   Tan, Chew Lim ^b  

^a GRIFFITH UNIVERSITY   (Australia)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Video text candidates; Video text line; Video word segmentation

Indexed keywords

ARBITRARY ORIENTATION; CANNY EDGES; COMPARATIVE STUDIES; COMPLEX BACKGROUND; DIRECTIONAL FEATURE; K-MEANS CLUSTERING; LOW RESOLUTION; NEAREST NEIGHBORS; NON HORIZONTALS; RESEARCH TOPICS; TEXT LINES; TWO-STAGE METHODS; VIDEO TEXT CANDIDATES; VIDEO TEXT RECOGNITION; WORD SEGMENTATION; WORD-SPACING;

COMPUTATIONAL LINGUISTICS; PIXELS;

CHARACTER RECOGNITION;

EID: 84874369400     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2012.6411703     Document Type: Conference Paper

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