Successful mathematical handwriting recognition will require recognizers for large sets of handwritten symbols. This paper presents a recognition system for such handwritten mathematical symbols. The recognizer can provide a component of a handwritten interface for computer algebra systems such as Maple. Large sets of similar symbols present new challenges in the area of handwriting recognition...

In this paper is presented an example of the use of fractal approaches in the field of online handwriting processing. The adaptation of the box counting method to the computation of online handwriting fractal dimension is presented. The influence of different parameters is studied. This allows understanding why the value of the proposed parameter is invariant towards the tablet or the speed or ...

Handwriting recognition has been one of the most fascinating and challenging research areas in the field of image processing and pattern recognition in the recent year. Now a days the research work on handwriting recognition focusing toward evolving new techniques and methods that would reduce the processing time while maintaining higher recognition accuracy. A brief review of various Soft Comp...

INTRODUCTION There is substantial evidence to support the relationship between transcription skills (handwriting and spelling) and compositional quality. For children with developmental coordination disorder, handwriting can be particularly challenging. While recent research has aimed to investigate their handwriting difficulties in more detail, the impact of transcription on their compositiona...

for many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. however, an issue that has rarely been studied is the speed of these methods. considering the computer hardware limitations, it is necessary for these methods to run in high speed. one of the methods to increase the processing speed is to use the computer pa...

Poor handwriting is a core deficit in Developmental Coordination Disorder (DCD). In a previous study, we compared the evolution of cursive letters handwriting in a girl with DCD throughout her second-grade year with that of typically developing (TD) children. We found that her handwriting evolved much less than that of TD children and remained similar to that of pre-schoolers at all stages, sug...

Technology is getting more and involved in our lives, so are algorithms. These algorithms speed up work reduce workload. Especially machine learning improving day by imitating human behaviours. Handwriting recognition systems also stand out on this field. In study, handwriting digit process has been done with having different working methods. Support Vector Machine (SVM), Decision Tree, Random ...

For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer pa...