Precise text location based on region search and invariable moment classification
Wang Yao-nan · Computer Engineering and Applications Journal · 2011
A new method for text location in images based on searching regions of specified color distribution is brought forward.Because of text usually presents as monadic color and is surrounded by different background colors,new method searches the blocks in an image with a monadic color to find candidate text regions which is surrounded by other different colors.After regions merging and splitting,moment invariant features and Support Vector Machine(SVM) classification are adopted to filter the candidate regions ulteriorly.Profited from using features in spatial distribution of color,the new method overcomes the problem caused by features overlapping in shape and texture between texts and other elements,and also guarantees its flexibility.Furthermore,feature extraction based on precise region search remarkably decreases the difficulty with training classifier.That makes the SVM classifier season with variations of background and text size,partly shielded and other complex conditions easily.Experiments indicate that the method has preferable environment suitability and high accuracy.