ocr

PRESENTATIONON

CHARACTER RECOGNITIONAND CONVERSION

GUIDED BY:-

Miss Soumya DashAsst. Prof, Dept. of CSE

PRESENTED BY:-

Sangram Keshari Senapati

CONTENTS

1. Introduction

2. Purpose

3. Architecture

4. Data Flow Diagram

5. Coding

6. Testing

7. Applications

8. Conclusion

INTRODUCTION

Character Recognition and Conversion is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text.

Method of digitizing printed texts so that they can be electronically searched, stored more compactly.

Information is scanned through paper documents and being stored as images to be processed into texted format.

For document processing a CHARACTER RECOGNITION SYSTEM software is needed.

PURPOSE

Character Recognition and Conversion system based on a grid infrastructure is to perform Image Analysis, document processing of electronic document formats converted from paper formats.

The primary objective is to speed up the process of character recognition in document processing.

ARCHITECTURE

Figure.1: CRC Architecture

DATA FLOW DIAGRAM

Figure 3: Level 1 DFD


CODING

1. Create Templates2. Scanning texts line by line3. Read Letters4. Character Recognition

TESTING

1. Sample Testing2. Performance Testing

SAMPLE TESTING

Figure 5: Dialog box to select the documented image.

Cont..

Figure 6: Selected image with noise shown in the figure box.

Cont..

Figure 7: Recognized text converted to text format and open with notepad.

Debug the program in the character recognition code.

Image file(input data) Text file(output data)

Figure 8: Conversion of text from a single line image to text format

PERFORMANCE TESTING


Figure 9: Conversion of text from a multi line image to text format

Cont..

Figure 10: Conversion of text from a colored image to text format

Cont..


Cont..


Figure 11: Conversion of text from a lower case letters

Cont..


Figure 12: Conversion of text from a combination of upper case and lower case letters.

INPUT OUTPUT

Figure 13: Conversion of text from a distorted image to text format

Cont..

APPLICATIONSLanguage ConversionData Entry for Business DocumentsAutomatic Number Plate RecognitionMore quickly make textual versions of printed documentsMake electronic images of printed documents searchable

CONCLUSIONCRC is a powerful tool to recognize characters into electronic formats. As mentions earlier it can be used for many purposes. However the limited availability of capital could restrict the growth of this technology. But if given proper enhancement it can be used for a variety of other purposes like,

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