In this paper, we present an online handwritten recognition method for Chemical Symbols, a widely used symbol in education and academic interactions. This method is based on Hidde...
This paper presents a character-structure-guided approach to estimating possible orientations of a rotated isolated online handwritten Chinese character. Using the estimated orien...
The problem of writer identification in a multiscript environment is attempted using a twodimensional (2D) autoregressive (AR) modelling technique. Each writer is represented by a...
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
This communication presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from the contours of handw...
Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase...
Iuliu Konya Konya, Christoph Seibert, Stefan Eicke...