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An integrated approach to form segmentation and component classification forclinic data image analysis is proposed. First, a modified Hough algorithm isproposed, which can be used to detect consecutive line segments from noisy formsin a clinic data image. Based on this algorithm, a top-down recursive form frameextraction algorithm is proposed, by which form frames in a clinic data imageare extracted structurally. After form frame extraction, a restoration maskingmethod is proposed, which is used to restore the broken strokes resulting fromframe extraction. Then, a component extraction and merge method is proposed forform content extraction. Finally, several features and a back propagation neuralnetwork are used for classification of preprinted components and filled-in hand-written components. Experimental results are shown to prove the feasibility ofthe proposed approach.
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