Title of dissertation: HANDWRITING IDENTIFICATION, MATCHING, AND INDEXING IN NOISY DOCUMENT IMAGES Yefeng Zheng, Doctor of Philosophy, 2005 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Throughout history, handwriting has been the primary means of recording information that is persevered across both time and space. With the coming of the el...

In an age of increasing technology, the possibility that typing on a keyboard will replace handwriting raises questions about the future usefulness of handwriting skills. Here we present evidence that brain activation during letter perception is influenced in different, important ways by previous handwriting of letters versus previous typing or tracing of those same letters. Preliterate, five-y...

OBJECTIVE To adapt the Handwriting Proficiency Screening Questionnaire (HPSQ), previously designated for adults, into a children's self-report version (the HPSQ for Children, or HPSQ-C) and to examine its reliability and validity. METHOD Participants included 230 children ages 7-14 yr from regular schools in Israel. The questionnaire's content validity, internal consistency, and concurrent an...

Two experiments were performed regarding the effect of conscious control on handwriting fluency in healthy adults and ADHD children. First, 26 healthy students were asked to write a sentence under different conditions. The results indicate that automated handwriting movements are independent from visual feedback. Second, the writing performance of 12 children with ADHD was examined on their usu...

The article aims to study the dynamics of psychological and psychophysiological indicators students’ cognitive activity in a digital learning environment. As research platform, we used well-known task speed–accuracy tradeoff, adapted for work LMS Moodle using set plug-ins that implement both stimulus situation itself ability monitor characteristics user’s motor displayed track cursor control de...

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...

Computers are greatly influencing the lives of human beings and their usage is increasing at a tremendous rate. The ease with which we can exchange information between user and computer is of immense importance today because input devices such as keyboard and mouse have limitations vis-à-vis input through natural handwriting. We can use the online handwriting recognition process for a quick and...

Handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, historical documents. This paper focuses on the comparative study on off-line handwriting recognition system and Printed Characters by taking Arabic handwriting. The off-line Handwriting Recognition methods for Arabic words which being often used among then across the...