NDLI: Automatic Detection and Segmentation of Text in Low Quality Thai Sign Images

Content Provider	IEEE Xplore Digital Library
Author	Jirattitichareon, W. Chalidabhongse, T.H.
Copyright Year	2006
Description	Author affiliation: Fac. of Inf. Technol., King Mongkut's Inst. of Technol. Ladkrabang, Bangkok (Jirattitichareon, W.)
Abstract	A system for automatic detection and segmentation of text in low quality Thai sign images is presented in this paper. The method is designed as a part of a real-time Thai sign translator system which can be used in many applications. First, an input image is pre-processed to enhance its quality. Secondly, we apply LoG (Laplacian of Gaussian) to the image for edge detection. After edge detection, in the third step, we perform connected component labeling and morphological operations for contour filling. To detect an element in a Thai sentence, we have to set some appropriate ratios and compare them with each closed region to find consonants, vowels, tones and special symbols. Next, we employ 4-line Thai character criteria for layout analysis. Finally, we use GMM (Gaussian mixture model) to represent foreground and background, and perform color segmentation in selected color model. Finally, a method for perspective distortion correction is also performed to prepare the segmented texts be ready for further recognition process. We tested the system on 192 Thai sign images which contain total of 4681 characters. The images were captured from several environments in various lighting conditions. The detection accuracy is 90.22%
Starting Page	1000
Ending Page	1003
File Size	3602906
Page Count	4
File Format	PDF
ISBN	1424403871
DOI	10.1109/APCCAS.2006.342256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-04
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image edge detection Design methodology Real time systems Laplace equations Labeling Morphological operations Filling Text recognition System testing thai sign translation text detection text segmentation
Content Type	Text
Resource Type	Article

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