This paper describes a novel approach to named entity (NE) tagging on degraded documents. NE tagging is the process of identifying salient text strings in unstructured text, corre...
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
How do you tell a computer from a human? The situation arises often on the Internet, when online polls are conducted, accounts are requested, undesired email is received, and chat...
Patrice Y. Simard, Richard Szeliski, Josh Benaloh,...
This paper proposes a novel handwriting recognition interface for wearable computing where users write characters continuously without pauses on a small single writing box. Since ...
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...