This paper presents an automatic grading prototype system developed as recognition engine for Japanese KANJI Dictation Test which aims to certificate the reading and writing ability of KANJI characters. The system is designed to replace the conventional human-grading process. Different from general handwritten character recognition systems which allow to read incorrect (misspelled) characters, ...

The use of handwriting provides a natural way of interacting with small portable computers. However, in order to capture handwritten text on-line special input devices are necessary. Therefore, Munich & Perona [13] proposed to use visual input for pen-based computers. Writing can then be performed on ordinary paper and pen trajectories are automatically extracted from image sequences recorded d...

Dysgraphia is a condition related to issues with children’s writing skills that do not follow typical skill development prominent dissimilarity the of their peers. In an effort facilitate children learning write, prototype designed and developed. A user-based evaluation performed by comparing samples handwriting before after prototype-assisted intervention base...

Machine learning techniques have been successfully applied to Chinese character recognition; nonetheless, automatic generation of stylized Chinese handwriting remains a challenge. In this paper, we propose StrokeBank, a novel approach to automating personalized Chinese handwriting generation. We use a semi-supervised algorithm to construct a dictionary of component mappings from a small seeding...

This bachelor thesis investigates the use of the RWTH-OCR system on the French handwriting database RIMES. The RWTH-OCR system is based on the RWTH-ASR speech recognition system. The field of offline handwriting recognition is an open topic in research and in the past the RWTH-OCR system has been adapted to several languages as English or Arabic handwriting. The RWTH-OCR is a hidden Markov mode...

We examined the effects of a cotaught handwriting and writing program on first-grade students grouped by low, average, and high baseline legibility. The program's aim was to increase legibility, handwriting speed, writing fluency, and written expression in students with diverse learning needs. Thirty-six first-grade students in two classrooms participated in a 12-wk handwriting and writing prog...

From 10 to 30% of elementary school-aged children have handwriting difficulties. Examination of such difficulties is important given the variety of academic, emotional, and social consequences that they can impose. One such common problem is the tendency of children to pause while writing. Thus the objective of this study was to use a computerized digitizer system to examine the tendency of poo...

Document examiners are often faced with difficulties in evaluating handwriting by persons under the influence of alcohol. Although numerous articles are available on the subject of alcohol influence on handwriting quality, most of them were based on empirical data such as "few" or "increased", without any statistical evaluation. The aim of this research is to determine whether previous observat...

Principal components analysis is a well-known statistical method in dealing with large dependent data sets. It is also used in functional data for both purposes of data reduction as well as variation representation. On the other hand "handwriting" is one of the objects, studied in various statistical fields like pattern recognition and shape analysis. Considering time as the argument,...

A system for off-line handwritten text recognition is presented. It is characterized by a segmentation-free approach, i.e. whole lines of text are processed by the recognition module. The methods used for pre-processing, feature extraction, and statistical modelling are described, and several experiments on writer-independent, multiple writer, and single writer handwriting recognition tasks are...