While keyboard input typically is faster than handwriting input, this is not true for small PDA interfaces. This paper describes an efficient system for entering data into pen-enabled devices. The prototype uses single-stroke chatroom abbreviations and shorthand symbols to increase the speed of data entry. We created a library of chatroom abbreviations and shorthand symbols, and developed a k-n...

Based on SVMs (Support Vector Machines) classification where statistical features are extracted, this paper proposes an efficient recognition model for isolated Vietnamese handwritten character recognition. We apply combining reduced set method and dimension reduction of input feature vectors to improve the speed of recognition model. Our test results over Vietnamese handwriting with 52,485 cha...

Previous studies have shown the existence of preferred stroke directions and shapes in handwriting. Assuming that such a two- dimensional trajectory formation process relies on the nonlinear coordination between two abstract orthogonal oscillators, a recent study (Athenes et al., in press) investigated the relative stability and the temporal accuracy of such coordination patterns in performing ...

In this paper, we will propose a simple yet robust structural approach for recognizing on-line handwriting. Our approach is designed to achieve reasonable speed, fairly high accuracy and sufficient tolerance to variations. Experimental results show that the recognition rates are 98.60% for digits, 98.49% for uppercase letters, 97.44% for lowercase letters, and 97.40% for the combined set. When ...

This report describes analogic algorithms used in the preprocessing and segmentation phase of off-line handwriting recognition tasks. A segmentation based handwriting recognition approach is discussed i.e. the system attempts to segment the words into their constituent letters. In order to improve their speed, the utilized CNN algorithms, whenever possible, use dynamic, wave front propagationba...

The recognition of unconstrained handwriting images is usually based on vectorial representation and statistical classification. Despite their high representational power, graphs are rarely used in this field due to a lack of efficient graph-based recognition methods. Recently, graph similarity features have been proposed to bridge the gap between structural representation and statistical class...

Objectives: The main purpose of this study is to produce an instrument for handwriting evaluation and to execute it on mentally retarded (MR) students. Methods: This was a descriptive, cross-sectional, and relationship study. 126 MR students (53 girls and 73 boys) ranging from 9 to 19 years old (13.23±2.17) from two exceptional children schools in shahr-e-rey participated in this study. A ha...

Due to their multifunctionality, tablets offer tremendous advantages for research on handwriting dynamics or for interactive use of learning apps in schools. Further, the widespread use of tablet computers has had a great impact on handwriting in the current generation. But, is it advisable to teach how to write and to assess handwriting in pre- and primary schoolchildren on tablets rather than...