Standardization of Handwritten Words to Improve Readability

1. Introduction

Standardization of handwritten communication is taken into account as a troublesome task within the field of engineering science. Generally, the handwriting of some folks is not clearly structured type, so the planned system is going to be accustomed and convert the handwriting in clear and structured type. For understanding the handwritings of various folk we have a tendency to square measure that will convert the unstructured handwriting into structured format. To implement this, we would like to separate the paragraphs into sentences, sentences into words and words into letters in order that the folks will establish each and every letter. Optical character recognition (OCR) (Ramappa & Krishnamurthy, 2012) is employed to separate the letter therein image. For conversion of words from unstructured to structured type we have a tendency to conjointly visualize the parameters and angles of that words and from that angles and parameters conversion of words is incredibly straightforward (Ferrer et al., 2016).

In this paper a true time image supported unstructured handwriting is explained and therefore the output is depended upon the input of the image (Romero, Toselli, Sánchez et al., 2016). This is often all the computer code based mostly approach basic demand of the system which is a camera. The target is to spot the unstructured letter therein image so as to convert that letter into a structured type so that word is legible. The summary of system is shown in Figure 1.

Figure 1.

System model

1.1. Challenges

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  Some folks use cursive letters;

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  It is troublesome to observe every word due to handwriting pattern;

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  Sometimes due to unstructured handwriting folks can’t perceive the meaning of the word (see Table 1).

Table 1.

Challenges of the system