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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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