Hisashi Ikeda

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Form reading technology based on form-type identification and form-data recognition is proposed. This technology can solve difficulties in variety for reading different items on fairly large number of different types of forms. The form-type identification consists of two parts: (i) extraction of targets such as important keywords in a form by matching(More)
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Sign language is one means of communication for hearing-impaired people. Words and sentences in sign language are mainly represented by hands' gestures. In this report, we show a sign language translation system which we are developing. The system translates Japanese sign language into Japanese and vice versa. In this system, hand shape and position data(More)
An information handling environment called “iJITinLab” is discussed. This environment enables users to integrate paper and electronic document information in both PC-based and paperbased work in ordinary offices. iJITinLab consists of two components. One is a desktop environment called “iJITinOffice.” Annotated information written on the printout can be(More)
We propose a document management system called <i>"iJITinOffice,"</i> which manages paper documents, including those with handwriting, and integrates them with electronic documents. By digitizing and managing handwriting on paper, we provide document management and retrieval capabilities that utilize the thinking process and memory that occurs with(More)
In order to support concept-creation, we focus on handwriting assuming that it should contain the information on the process toward insight. As a result of intensive analysis of handwriting in concept creation process, one observation is that pen speed gets faster on insight after the period in which pen speed is relatively slow or time gaps get increased.(More)
Objective of the current work is to develop an Optical Character Recognition (OCR) engine for information Just In Time (iJIT) system that can be used for recognition of handwritten textual annotations of lower case Roman script. Tesseract open source OCR engine under Apache License 2.0 is used to develop user-specific handwriting recognition models, viz.,(More)