Handwritten Recognition and Detection

This repository contains the resources used during the development of an ML system for handwritting recognition and detection.

This project is to be integrated in the architectural field, hence it will have a strong bias towards the state-of-the-art literature both in Architecture and computer vision.

Note: This repository is a work in progress.

Requirements of the System

• Capable of detecting handwritten components in an image
• Capable of recognizing handwritten components, namely, mathematical symbols, words, greek letters, among others.

References

Image Classification

• 2019, Optimising Image Classification at CAADRIA (available here)