Handwritting recognition in react native
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Updated
Jan 4, 2023 - Objective-C
Handwritting recognition in react native
An application to classify handwritten Bengali graphemes.
Collect handwritten characters for classification.
Handwritten hiragana recognition software
Predicting kannada digits and alphabets (40+classes) by voluntarily drawing them in real time using 3DPaint tool.
Character recognition task: classification of handwritten numerals
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.
Preprocessing methods to enhance Tesseract-OCR in the case of printed text on difficult background, or handwritten text on lined/squared paper.
Handwritten Character Recognition using Neural Network [Under Development]
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
MNIST like dataset creation tool for Handwritten Text Recognition.
In this paper, we introduce an Autoencoder with a Deep CNN, which we call DConvAENNet for recognizing Bangla Handwritten Character (BHC). A total of 22 experiments were performed on the three-character datasets (BanglaLekha-Isolated, CMATERdb 3.1, Ekush).
Handwritten Bangla Character Classification using ResNet-34 trained using BanglaLekha Dataset. System has been implemented in PyTorch. For details, see the README file.
ML Codefest
An android app to simplify dataset generation for digits/symbols/letters.
This project was developed as a class assignment with the objective of classifying handwritten Arabic characters using machine learning techniques.
💻 🧠✍Final Project Machine Learning to make Handwritten Character Recognition (A-Z) with MNIST data. We classified A-Z Handwritten Character with Machine Learning method Neural Network
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