Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
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Updated
Feb 4, 2023 - Python
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
The hand-writing recognition engine built with TypeScript. Forked from KanjiCanvas.
an option selector mechanism to select the best option against actual(unlabeled) dataset based on the previous training(Labeled) datasets ,written in pure/vanilla JavaScript
This a Machine Learning Project which Recognises handwritten digits .i.e. 0 to 9.
Training a sequential model to classify handwritten digits by using the mnist dataset and creating a interface to classify your own handwritten digits.
Multiple machine learning algorithms to solve associated problems coupled with varying theoretical examinations.
Simple Neural Network, Deep Learning for hand written digits recognition.
Using computer vision to recognize hand written digits
A Java implementation of Self-Organizing Kohonen Map that classifies hand-written characters.
handwritten image recognition without using common nueral network libraries
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users - Accepted at SIGIR 2019
Domain adversarial network trained on MNIST-M, SVHN, and USPS
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