A deep learning toolkit for handwritten document analysis
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Updated
Feb 10, 2021 - Python
A deep learning toolkit for handwritten document analysis
Extracts texts from images of post it notes!
Handwritten text recognition with LSTM RNN using IAM dataset
A simple OCR application using Python, OpenCV, and Keras. test_handwriting.py file recognizes handwritten text and returns an output.png image with the text highlighted.
Experimental implementation of an automated checking application using Handwritten Text Recognition using CNN, Text Summarisation using TextRank and keyword matching.
Handwritten Text Recognition
code recognition persian handwritten
The following HTR model is available inside Transkribus platform (public model section). The HTR model dataset is available on Zenodo: https://doi.org/10.5281/zenodo.4888926
AI Program with Python, have several AI tools Handwriting, Detection emotions, Color Detection Gender & Age and Detection Emotions
Implementation of the method presented at "Efficient Learning-Free Keyword Spotting"
Tuning, training, and testing Keras models for CRNN handwritten text digitization.
The program Hwrites can simulate your writing style. It’s designed to imitate your writing style by using artificial intelligence and text mining. I'm excited to announce a new breakthrough in machine learning. Hwrites is designed to provide a writing assistant. The program is able to mimic your writing style through AI.
Touch interface-STM3F429I-D (CubeMX-AI)based handwritten digit and text recognizer using Deep Learning
Implementation of a handwriting recognition system, capable of generating and displaying the written text in a collection of images of documents
A customized Convolutional Neural Network (CNN) based Offline Handwritten Bengali District Names Recognizer.
A Clojure client for Transkribus
A piece of software to recognize handwritten capital characters.
A program has been developed to automate the process of extracting text and data from handwritten invoices, thereby improving efficiency and reducing errors associated with manual data entry, thereby benefiting many businesses.
The following HTR model is available inside Transkribus platform (public model section). The HTR model dataset is available on Zenodo: https://doi.org/10.5281/zenodo.4889217
Digit recognition system is the working of a machine to train itself or recognizing the digits from different sources like emails, bank cheque, papers, images, etc. and in different real-world scenarios for online handwriting recognition on computer tablets or system, recognize number plates of vehicles, processing bank cheque amounts, numeric e…
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