Handwritten-Character-Recognition

A project Sponsored by Central Bank of India

This is my capstone project which i worked on during my Diploma in Computer Engineering the project primarily helps in recognizing single Handwritten Character

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Project description

I developed a Handwritten Character Recognition system using deep learning techniques, achieving an impressive accuracy rate of 94%. This project aimed to create a robust model capable of accurately identifying handwritten characters from various sources. Leveraging convolutional neural networks (CNNs), we trained the model on a diverse dataset of handwritten characters, ensuring high precision and reliability in recognition tasks. Our innovative approach and outstanding results earned us the 2nd prize at the MIT-WPU Project Innovision competition. This recognition highlights the project's technical excellence and practical impact in the field of machine learning and pattern recognition.

Key Features:

• Utilized CNNs for feature extraction and classification.
• Achieved 94% accuracy in character recognition.
• Won 2nd prize in the MIT-WPU Project Innovision competition.