Predicting kannada digits and alphabets (40+classes) by voluntarily drawing them in real time using 3DPaint tool.
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Updated
May 20, 2024 - Jupyter Notebook
Predicting kannada digits and alphabets (40+classes) by voluntarily drawing them in real time using 3DPaint tool.
Handwritten Character Recognition using Neural Network [Under Development]
Recognition of handwritten and machine characters is an emerging area of research and finds extensive applications everywhere. Our application accepts an image/document in the form of a .png extension and pre-processes the manually written text to neatly segment it into parts. After segmentation, the recognition of simple isolated characters or …
This project is a comprehensive solution for recognizing handwritten digits and text from images, with functionalities for training, testing, and usage, making it suitable for tasks like cheque amount verification and other handwritten text recognition applications.
ML Codefest
An android app to simplify dataset generation for digits/symbols/letters.
Machine Learning Model for Identifying Traditional Tagalog Baybayin Characters
Recognize hand-drawn letters in the air using a kinetic sensor.
Recognize handwritten math expressions and perform calculation with deep learning. Data https://www.kaggle.com/xainano/handwrittenmathsymbols. Model train accuracy 95%, val acc 97%
In this project, we have built a database of Bangla Handwritten Letters which contains handwritten images of 84 Bangla letters (10 numerals, 11 vowels, 39 consonants, 24 compound letters). We also investigated some of the existing Bangla character recognition models and found that these models have lower accuracy when the database contains some …
This is a project made in Flutter for kana recognition by drawing the user's strokes using Tensorflow to recognize the drawn kana.
Meetei Mayek Character Recognition: Hybrid CNN+LSTM model for Meetei Mayek script recognition.
Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project
AlexNet Model Testing In A Vast Dataset for Kurdish Digits and Isolated Characters Recognition
Handwritten hiragana recognition software
Solving the Character recognition problem as an SVM optimization problem using CVXOPT
Using CNN(Keras) and Image Augmentation techniques to classify a given set of handwritten Devnagari characters
Coursework as online handwritten character recognition application.
Handwritten Bangla Character Classification using ResNet-34 trained using BanglaLekha Dataset. System has been implemented in PyTorch. For details, see the README file.
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