NDLI: A robust algorithm for text extraction in color video

Content Provider	IEEE Xplore Digital Library
Author	Wong, E.K. Minya Chen
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Polytech.. Univ., Brooklyn, NY, USA (Wong, E.K.)
Abstract	We report on the development and implementation of a new algorithm for extracting text in digitized color video. The algorithm operates by locating potential text line segments from horizontal scan lines. Detected text line segments are expanded or combined with text line segments from adjacent scan lines to form larger text blocks, which are then subject to filtering and refinement. Text pixels within text blocks are then found using bi-color clustering and connected-component analysis. Morphological contour smoothing and morphological resolution enhancement algorithms are then applied to the detected binary texts to enhance their visual quality. The implemented algorithm has fast execution time and is effective in detecting text in difficult cases, such as scenes with highly textured background, and scenes with small text. A variety of color images digitized from broadcast television are used to test the algorithm and excellent performance result was obtained.
Starting Page	797
Ending Page	800
File Size	438606
Page Count	4
File Format	PDF
ISBN	0780365364
DOI	10.1109/ICME.2000.871481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Data mining Layout Indexing Smoothing methods Clustering algorithms Image databases Multimedia databases Information science Filtering
Content Type	Text
Resource Type	Article

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