Method to Determine Handwriting Stroke Types and Directions for Early Detection of Handwriting Difficulty

Early discovery of difficult-to-handle children is important to avoid adverse effects in learning. In this paper, we propose a method to recognize the type of stroke included in drawing of Latin characters and its drawing direction in order to detect the difficulty of handwriting based on the error occurred during drawing of characters. This method accepts the stroke input of a series of points recorded in x - y coordinates and converts the input strokes into three straight lines, curves and complex straight lines, that is, a combination of two or more simple straight lines drawn consecutively Divide into categories. All motion classifications are based on angular differences detected between a series of points within each stroke. Next, the type of the handwriting stroke and the direction in which each stroke is generated are specified by the relationship of the continuous coordinate pair. This method is suitable for classification and identification of simple linear strokes and requires additional functions to improve the accuracy of the curves and the recognition of complex lines.

This method takes points from the input strokes or characters at x - y coordinates and analyzes them.

Line, (b) curve, (c) complex line. Simple lines include vertical lines, horizontal lines, and diagonal lines

As can be seen from the results, algorithms can be classified for simple patterns, eg inputs (a), (b), (d), (e) and (f).

Even in the case where the direction of the curve can be determined, the shape such as "c", "u", "n", inverted "c"

I ignore it. Only the lower half of the sharp corner stroke is detected and the entire stroke is divided into two.

Handwriting analysis or handwriting is a science that creates human personality by examining handwritten features, features, and strokes. Trained graphic scientists can build massive amounts of information about people simply by analyzing their handwriting. In addition to creating a complete profile, your handwriting can display many other content. Problems such as ethical foundations, past experiences, hidden talent, and psychological differences are just a few of the many features that can be manually revealed.

Early discovery of difficult-to-handle children is important to avoid adverse effects in learning. In this paper, we propose a method to recognize the type of stroke included in drawing of Latin characters and its drawing direction in order to detect the difficulty of handwriting based on the error occurred during drawing of characters. This method accepts the stroke input of a series of points recorded in x - y coordinates and converts the input strokes into three straight lines, curves and complex straight lines, that is, a combination of two or more simple straight lines drawn consecutively Divide into categories. All motion classifications are based on angular differences detected between a series of points within each stroke. Next, the type of handwriting stroke and the direction in which each stroke is generated is identified by the relationship of successive coordinate pairs.

Method for determining the type and direction of a handwriting stroke for early detection of handwriting difficulties

Believe it or not, the way children make these prewritten strokes is as important as the final result. The purpose of learning for beginners is to prepare hand-dressed for young children. Several major strokes are used in all our character combinations. For example, what is common to the following letters? Each of the above characters uses a stroke that is curved counterclockwise to start character formation (as if the letter "c" was printed). So when you learn to print letters that use the same or similar strokes, by taught your child to draw a circle counterclockwise, it gets used more.