Handwriting recognition system in machine learning

Handwriting digits and character recognitions have become increasingly important in today's digitized world due to their practical applications in various day to day activities. It can be proven by the fact that in recent years, different recognition systems have been developed or proposed to be use

Project Title

Handwriting recognition system in machine learning

Project Area of Specialization

Artificial Intelligence

Project Summary

Handwriting digits and character recognitions have become increasingly important in today's digitized world due to their practical applications in various day to day activities. It can be proven by the fact that in recent years, different recognition systems have been developed or proposed to be used in different fields where high classification efficiency is needed. Systems that are used to recognize Handwriting letters, characters, and digits help people to solve more complex tasks that otherwise would be time-consuming and costly. A good example is the use of automatic processing systems used in banks to process bank cheques. Without automated bank cheque processing systems, the bank would be required to employ many employees who may not be as efficient as the computerized processing system. The handwriting recognition systems can be inspired by biological neural networks, which allow humans and animals to learn and model non-linear and complex relationships. That means they can be developed from the artificial neural network.

Project Objectives

• Reduced man-power to convert old literature into digitized form manually
• The proposed system served as a guide and working in character recognition areas
• Making rich the digitized library with the English language

Project Implementation Method

We are making an Artificial Neural system that will be used with cameras for obtaining character images. In this project, the implemented system would convert hand-written or printed images into editable form. In this system, we give an input image or captured an image for converting.

Benefits of the Project

• It saves time and effort
• Increase privacy and security
• It overcomes the problem of fake attendance
• Reduce manual process error by providing an automated and reliable attendance system

Technical Details of Final Deliverable

This project built by creating different software and hardware components. Here is a simple list of the components involved in the project.

1. Page Detection
2. Character Detection
3. Camera that take image
4. Supervisor software Using all these components we’ll be able to convert the input into editable form.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Required Resources

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