Image to text converter in java
Image to text converter
PROJECT ID: JAVA18
PROJECT NAME: Image to text converter
PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING
PROJECT ABSTRACT:
Tesseract OCR is an optical character reading engine developed by HP laboratories in 1985 and open sourced in 2005. Since 2006 it is developed by Google. Tesseract has Unicode (UTF-8) support and can recognize more than 100 languages “out of the box” and thus can be used for building different language scanning software also. Latest Tesseract version is Tesseract 4. It adds a new neural net (LSTM) based OCR engine which is focused on line recognition but also still supports the legacy Tesseract OCR engine which works by recognizing character patterns.
Pre-process image data, for example: convert to gray scale, smooth, de-skew, filter.
Detect lines, words and characters.
Produce ranked list of candidate characters based on trained data set. (here the setDataPath() method is used for setting path of trainer data)
Post process recognized characters, choose best characters based on confidence from previous step and language data. Language data includes dictionary, grammar rules, etc.
Advantages
The advantages of OCR are numerous, but namely:
1. it increases the efficiency and effectiveness of office work
2. The ability to instantly search through content is immensely useful, especially in an office setting that has to deal with high volume scanning or high document inflow.
3. OCR is quick ensuring the document’s content remains intact while saving time as well.
4. Workflow is increased since employees no longer have to waste time on manual labour and can work quicker and more efficiently.
Disadvantages
1. The OCR is limited to language recognition.
2. There is lot of effort that is required to make trainer data of different languages and implement that.
3. One also need to do extra work on image processing as it is the most essential part that really matters when it comes to the performance of OCR.
4. After doing such a great amount of work, no OCR can offer an accuracy of 100% and even after OCR we have to determine the unrecognized character by neighbouring methods of machine learning or manually correct it.
SOFTWARE REQUIREMENTS:
FRONT END: HTML, JAVA
SCRIPT
Technologies: CORE
JAVA
DATABASE: SQL
Operating System:
Windows XP/7/8/10
HARDWARE REQUIREMENTS:
Processor: Intel
Pentium based system
Processor speed:
250 MHz to 833MHz
RAM SPEED: 1GB
TABLE OF CONTENTS
·
Title
Page
·
Declaration
·
Certification
Page
·
Dedication
·
Acknowledgements
·
Table of
Contents
·
List of
Tables
·
Abstract
CHAPTER SCHEME
CHAPTER ONE: INTRODUCTION
CHAPTER TWO: OBJECTIVES
CHAPTER THREE: PRELIMINARY SYSTEM ANALYSIS
·
Preliminary Investigation
·
Present System in Use
·
Flaws In Present System
·
Need Of New System
·
Feasibility Study
·
Project
Category
CHAPTER FOUR: SOFTWARE ENGINEERING AND PARADIGM APPLIED
·
Modules
·
System / Module Chart
CHAPTER FIVE: SOFTWARE
AND HARDWARE REQUIREMENT
CHAPTER SIX: DETAIL
SYSTEM ANALYSIS
·
Data Flow Diagram
·
Number of modules and Process Logic
·
Data Structures and Tables
·
Entity- Relationship Diagram
·
System Design
·
Form Design
·
Source Code
·
Input Screen and Output Screen
CHAPTER SEVEN: TESTING AND VALIDATION CHECK
CHAPTER EIGHT:
SYSTEM SECURITY MEASURES
CHAPTER NINE:
IMPLEMENTATION, EVALUATION &
MAINTENANCE
CHAPTER TEN:
FUTURE SCOPE OF THE PROJECT
CHAPTER ELEVEN:
SUGGESTION AND CONCLUSION
CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES
Other
Information
PROJECT
SOFWARE |
ZIP |
PROJECT REPORT PAGE |
60
-80 Pages |
CAN BE USED IN |
Marketing
(MBA) |
PROJECT COST |
1500/-
Only |
PDF SYNOPSIS COST |
250/-
Only |
PPT PROJECT COST |
300/-
Only |
PROJECT WITH SPIRAL BINDING |
1750/-
Only |
PROJECT WITH HARD BINDING |
1850/-
Only |
TOTAL
COST (SYNOPSIS, SOFTCOPY, HARDBOOK, and SOFTWARE, PPT) |
2500/-
Only |
DELIVERY TIME |
1
OR 2 Days (In
case Urgent Call: 8830288685) |
SUPPORT / QUERY |
|
CALL |
8830288685 |
|
help@projectsready.in |
[Note:
We Provide Hard Binding and Spiral Binding only Nagpur Region] |
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