Minenobu Seki

Form reading based on form-type identification and form-data recognition

Form reading technology based on form-typeidentification and form-data recognition is proposed. Thistechnology can solve difficulties in variety for readingdifferent items on fairly large number of different types offorms. The form-type identification consists of two parts:(i) extraction of targets such as important keywords in aform by matching between recogised characters and wordstrings in a keyword dictionary, and (ii) analysis ofpositional or semantic relationship between the targets byconstellation matching between these targets and wordlocation information in the keyword dictionary. The formdatarecognition consists of two parts: (i) extraction of aregion of interest (ROI) contained a character string of theitem by using a layout knowledge of the very form-type,and (ii) character string recognition of the item by usingthe linguistic constraint which can be obtained from acontent knowledge of the form-type. A experiment using642 sample forms with 107 different types in totalconfirmed that the form-type identification method cancorrectly identify 97% of 642 form samples at a rejectionrate 3%. Another experiment confirmed that the form-data recognition method can correctly read 95% of thenumber of items on the form samples.

Information Management System Using Structure Analysis of Paper/Electronic Documents and Its Applications

An information management system using analyzing document structure is presented. The purpose is simultaneous management of information in various paper and electronic documents. The system contains image document analysis, PDF document analysis, and HTML document analysis. The two applications are presented and the developed prototypes are described. One application is document summarization. The other application is table understanding to correlate data to items.