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Proposer
Idris Ibrahim
Title
Handwriting Recognition
Goal
Create a system that can recognise and convert handwritten text into digital text. This can be helpful in digitising handwritten documents.
Description
The Handwriting Recognition project aims to develop a sophisticated system capable of recognising and converting handwritten text into digital text. This system will involve advanced techniques in image processing, machine learning, and natural language processing to accurately interpret and transcribe handwritten documents.
Resources
Background
Machine Learning and Artificial Intelligence (AI), Computer Vision and Image Processing, Strong Programming Skills, and Knowledge of OCR (Optical Character Recognition).
Url
Difficulty Level
Challenging
Ethical Approval
Full
Number Of Students
1
Supervisor
Idris Ibrahim
Keywords
handwriting recognition, image processing, machine learning, natural language processing, digitisation, ocr (optical character recognition).
Degrees
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
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