Recognition and Reconstruction of Data Forms by Image Analysis Techniques

• Main Authors: Tseng, Huan-En, 曾煥恩
• Other Authors: Wen-Hsiang Tsai
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/42877305712893322995

碩士 === 國立交通大學 === 資訊科學學系 === 86 === A form processing system, which consists of two major functions, is developed. One is understanding of blank data forms while the other one is processing of filled-in data forms, which can be divided into recovery of blanks forms from filled- in forms and reconstruction of filled-in data forms. When processing blank data forms, frames, printed characters, and fields to fill in are extracted and the relationships among fields are detected. The results are saved in a form database. A form filling module is also developed for filling form by computers conveniently. For filled-in forms, the first thing is form recognition. In this study, form recognition is based on the significant vertical and horizontal lines, instead of the layout structures of forms. Moreover, the width and height of forms are also used for form recognition. A modified Hough transform method is proposed, which can detect significant lines from noisy forms quickly. If the result of recognition says that there exists no blank data form corresponding to an input filled-in form in the form database, the filled-in form is converted into a blank form. The resulting blank data form is analyzed and understood next. Otherwise, a form registration method is performed in order to find out all the handwritten characters in filled-in fields. An interface also is provided to type in the handwritten characters. Finally, the filled-in form can be reconstructed and stored in database. At this moment, digitization, layout enhancement, and compression of filled-in forms are achieved. Experimental results show the feasibility and practicability of the proposed approaches.