An introduction to digital image processing
An introduction to digital image processing
A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent forms processing system
Machine Vision and Applications - Special issue: document image analysis techniques
Extraction of data from preprinted forms
Machine Vision and Applications - Special issue: document image analysis techniques
Extraction of characters from form documents by feature point clustering
Pattern Recognition Letters
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This paper presents a novel approach to grouping Chinese handwritten field-data of form documents using a gravitation-based algorithm. We develop an algorithm to extract handwritten field data which may be written out of the fields. We first extract and remove form lines for input form images. Next, we detect connected-components from remaining data, and compute the gravitation for each connected-component by using the black pixel counts as their mass. Then, we move connected-components to their field center according to their gravitation, since filled-in data have the locality property, that is, data of the same field are usually written in a local area consecutively. After moving these connected-components for a certain times, we can assign most components to the fields they should be. Thus, we can determine which connected-components should be extracted for a particular field. Experimental results show that this proposed method can group field-data effectively.