A GENERIC SYSTEM TO EXTRACT AND CLEAN HANDWRITTEN DATA FROM BUSINESS FORMS
C.Y. Suen, Mohamed Cheriet · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2004
A generic system is proposed to automatically extract and clean handwritten items from business forms. Handwritten data usually touch or cross preprinted form frames and texts. Having assumed that the itemofinterest can be located roughly by existing form registration methods, we focus only on the extraction and cleaning of the filledin items. The proposed system includes training and cleaning phases. In the training phase, a model template is generated automatically from a blank form. Features such as the position and stroke width of the preprinted entities (including form frames and instructions) are extracted. In the cleaning phase, the system registers the template to the input form by landmark alignment. The form frames are removed and the handwritings are restored by morphological operations. When the handwritings are found touching or crossing preprinted texts, morphological operations based on statistical features are used to clean them. Both subjective and objective evaluations show promising results of the proposed system.