This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
This paper describes a framework to recognizing and recreating folding process of origami based on illustrations of origami drill books. Illustration images acquired from origami ...
This paper describes prototyping of a form processing system employing dot texture for printing input frames of the form. The dot texture is the texture composed of small dots. It...
Taro Shimamura, Bilan Zhu, Atsushi Masuda, Motoki ...
This paper presents an integrated approach to parsing textual structure in freeform handwritten notes. Textgraphics classification and text layout analysis are classical problems ...
Michael Shilman, Zile Wei, Sashi Raghupathy, Patri...
A skew angle estimation approach based on the application of a fuzzy directional runlength is proposed for complex address images. The proposed technique was tested on a variety o...
Our aim is to achieve writer identification process thanks to a fractal analysis of handwriting style. For each writer, a set of characteristics is extracted. They are specific to...
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
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 f...
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...