Collect handwritten characters for classification.
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Updated
Mar 22, 2022 - Python
Collect handwritten characters for classification.
Handwritten hiragana recognition software
Character recognition task: classification of handwritten numerals
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.
This is a project made in Flutter for kana recognition by drawing the user's strokes using Tensorflow to recognize the drawn kana.
Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project
Virtual Pen + Recognition of handwritten digits
Visualizing fully connected neural networks
객체 인식과 OCR을 활용한 객관·단답식 시험지 채점 AI 소프트웨어 (Yolov8, EasyOCR, tamil-ocr used)
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 …
Handwritten text recognition using CNN with EMNIST dataset
Fundamentals of Machine Learning (EEL5840) final project.
Handwritten Urdu Character Recognition in Machine Learning using Scikit-learn
Recognize the handwritten digits online with FCNet which is powered by MNIST dataset 😄
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
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