In this paper we present a new method to extract the elementary perceptual codes from on-line handwriting scripts. This approach uses the advantages of fuzzy sets theory to classify the on-line handwriting strokes into elementary perceptual codes and the Betaelliptic model for the generation of complex handwriting movements. Human perceptual system is based on some basic features in order to re...

At the present time, with the technology that many portable devices have, pen-based input is widely supported and input can be done through handwriting rather than just by typing. While character recognition and other input issues are the main consideration with these devices, there are many interesting output issues related to digital ink. This thesis investigates the questions of handwriting ...

There is no commercial character recognition software that supports Thai handwriting. Thai handwritten character recognition is needed to convert handwritten text written on mobile and tablet devices into computer encoded text. We propose a novel method that joins three curve signatures. The first signature is the normalized tangent angle function (TAF), which provides rough classification. The...

Because of its complexity, handwriting recognition has to exploit many sources of information to be successful, e.g. the handwriting zones. Variability of zone-lines, however, requires a more flexible representation than traditional horizontal or linear methods. The proposed method therefore employs approximating cubic splines. Using entire lines of text rather than individual words is shown to...

The within-writer variability of handwriting forms one of the problems in the automatic recognition of cursive script. Variability can be handled by choosing handwriting features based upon the process of handwriting generation or upon computational models. Handwriting patterns are represented by a sequence of motor actions, i.e., "strokes", which can be identified by invariant segmentation. Ea...

In this paper the use of handwriting artifacts for health investigation is addressed. For the purpose, the paper first presents the Delta-Log and Sigma-Lognormal models to investigate on the handwriting generation processes carried out by the neuromuscular system. Successively, a computational system for handwriting analysis is presented and some considerations are exploited about the use of th...

ÐContour representations of binary images of handwritten words afford considerable reduction in storage requirements while providing lossless representation. On the other hand, the one-dimensional nature of contours presents interesting challenges for processing images for handwritten word recognition. Our experiments indicate that significant gains are to be realized in both speed and recognit...