A class-modular generalized learning vector quantization (GLVQ) ensemble method with outlier learning for handwritten digit recognition is proposed. A GLVQ classifier is one of d...
In this paper a study of some structural features of handwritten letter ‘a’ is presented. The features under consideration are structural, style and formation features documen...
Philip Jonathan Sutanto, Graham Leedham, Vladimir ...
Postcorrection of OCR-results for text documents is usually based on electronic dictionaries. When scanning texts from a specific thematic area, conventional dictionaries often m...
Christian M. Strohmaier, Christoph Ringlstetter, K...
The analysis of handwritten documents from the viewpoint of determining their authorship has great bearing on the criminal justice system. In many cases, only a limited amount of ...
Sargur N. Srihari, Catalin I. Tomai, Bin Zhang, Sa...
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 ...