A Statistical Method for an Automatic Detection of Form Types
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Document Image Recognition Based on Template Matching of Component Block Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based ruling line detection in noisy handwritten documents
Pattern Recognition Letters
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Almost all form documents contain line segments. In this paper, we propose an efficient method to recognize the form document that contains at least one line segment. Our method is based on an efficient representation model of the form. The representation model uses three types of line segments to represent a form. All line segments are normalized and sorted after they were extracted. The normalization and sorting not only solve the problem of magnification and contraction but also provide an unified and efficient way of matching between forms. To make the recognition method more robust, a fuzzy matching is used. Experimental results show the effectiveness and the efficiency of the method.