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...

Purpose of this research paper is to identify a person through written handwriting authentication this thesis focuses on the written handwriting authentication. Biometry offers potential for automatic personal verification and differently from other means for personal verification; biometric means are not based on the possession of anything or the knowledge of some information. Of the various b...

Cognitive load measurement during handwriting has broad prospects both for computer-assisted education and for user interface adaptation, but it is difficult to achieve due to the lack of established methods for extracting behavioral information from writing that is indicative of cognitive load variations. This study aimed to measure cognitive load with the direct information available from the...

Programming is an activity centred primarily around the keyboard which is not necessarily the optimal input device for all users. Little research has taken place into alternative input devices for programming despite huge advances in handwriting and voice recognition for natural language. This project explored using a pen as the primary input device for programming. A variety of different metho...

The treatment of writer's cramp, a task-specific focal hand dystonia, needs new approaches. A deficiency of inhibition in the motor cortex might cause writer's cramp. Transcranial direct current stimulation modulates cortical excitability and may provide a therapeutic alternative. In this randomized, double-blind, sham-controlled study, we investigated the efficacy of cathodal stimulation of th...

Since wrist-joint position affects finger muscle length and grip strength, we studied its biomechanical relevance in prolonged handwriting. We recruited participants from young adults, aged 18-24, and separated them into control (n=22) and in-pain (n=18) groups, based whether or not they experience pain while handwriting. The participants then performed a writing task for 30 min on a computeriz...

Cursive handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, postal address recognition, reading machines for the blind, bank check recognition, and interpretation of historical documents. Therefore, in the last few decades, researchers have put an enormous effort into developing various techniques for handwriting recog...

The present article is a review of studies concerning graphomotor functions (handwriting) in children with attention deficit hyperactivity disorder (ADHD) and the stimulant-induced (methylphenidate) alterations of both qualitative and quantitative aspects of handwriting. This review indicates an interaction between attentional functions and handwriting in ADHD children treated with methylphenid...

Difficulties in handwriting are often reported in children with developmental coordination disorder, and they represent an important element in the diagnosis. The present study was aimed at investigating the relation between motor coordination and handwriting skills, and to identify differences in handwriting between children without and with coordination difficulties. In particular, we asked w...

The automatic handwriting identification is a hot topic in pattern recognition that it has been extensively studied in many languages. A Uyghur handwriting identification technique based on the stroke statistical features is proposed in this paper. Firstly, the handwriting image is preprocessed taking modified methods of grid line removal, noise reduction and thinning. Then novel stroke statist...