Probabilistic interpage analysis for article extraction from document images
Atsuhiro Takasu · 2002
The progress of information processing and utilization technologies enables one to handle a huge information space. It is important to utilize the information stored in printed papers for constructing a huge information space. This paper presents an interpage analysis method for processing one issue of a journal and a magazine at one time. The method presented is based on the error correcting parsing technique which enables one to handle errors of recognition processes. The sequence of pages are parsed in two levels, the journal level and the logical component level, to extract logical components of journals and magazines.