Standardization of Handwritten Words to Improve Readability

Standardization of Handwritten Words to Improve Readability

Urmila Shrawankar (GHRCE, RTM Nagpur University, Nagpur (MS), Nagpur, India)
Copyright: © 2019 |Pages: 17
DOI: 10.4018/IJTD.2019070101
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Everyone has different handwriting, and this is a difficulty since not everyone can discern the handwriting of different people. The described technique converts unstructured handwriting into a structured type. To resolve the problem, the authors want to separate every letter of the words so as to converting the alphabet into a commonplace type. This is to simplify the written language for everyone. This article presents a piece of text identification from image. OCR is enforced to convert electronic kind of image into machine-editable text.
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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

  • Some folks use cursive letters;

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

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

Table 1.
Challenges of the system

1.2. Opportunities

  • Help to scan and obtain the clear handwriting from structured type;

  • Help for teaching purpose;

  • Helpful for matching the words;

  • This may be used for obtaining the written word in structured type;

  • It accepts any Non- standardized font written in English;

  • It splits the connected or continuous characters so as to perform element analysis.

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