DocumentCode :
258747
Title :
Performance analysis of color image segmentation for text detection
Author :
Joseph, Naicy ; Simon, Philomina
Author_Institution :
Dept. of Comput. Sci., Univ. of Kerala, Thiruvananthapuram, India
fYear :
2014
fDate :
17-18 Dec. 2014
Firstpage :
344
Lastpage :
348
Abstract :
Automatic text detection and extraction systems for natural scene images and videos have gained wide attention due to its immense applications in various fields of information retrieval. Many algorithms have been proposed in literature which addresses the problem of text detection. The color uniformity of text characters is one of the strong features which is used in color based text localisation methods. The prior step in the color based text localization methods is to partition the image into different segments based on the color. This paper discusses the performance analysis of different color image segmentation methods for text detection.
Keywords :
image colour analysis; image segmentation; text detection; automatic text detection; color image segmentation; extraction systems; natural scene images; text localisation methods; Algorithm design and analysis; Clustering algorithms; Conferences; Feature extraction; Image color analysis; Image segmentation; Lighting; Color Image segmentation; Color Space; Text Detection; Text localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Systems and Communications (ICCSC), 2014 First International Conference on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4799-6012-5
Type :
conf
DOI :
10.1109/COMPSC.2014.7032675
Filename :
7032675
Link To Document :
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