Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
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Updated
Jul 26, 2021 - Python
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
✏️ ☁️ MyScriptJS is the fastest way to integrate rich handwriting recognition features in your webapp.
Detect handwritten words (classic image processing based method).
✏️ ☁️ The easy way to integrate mathematical expressions handwriting recognition in your web app.
WritePad Handwriting Recognition SDK
✏️ ☁️ The easy way to integrate text handwriting recognition in your web app.
The deslanting algorithm sets text upright in images. Python, C++ and OpenCL implementations provided.
A simple API access to the handwriting recognition service of Google IME
✏️ ☁️ iinkJS is the fastest way to integrate rich handwriting recognition features in your webapp.
Connect(); 2018 - AI Visual Provision Sample App
OCR/OCSR on handwritting ⏣/chemical-structural-formulas with YOLO & CRNN models.
Making Handwriting Synthesis with RNNs more Package-Friendly
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
Handwriting Recognition Web API Proposal
Multilingual handwriting recognition engine for iOS, Android, Windows, Linux, MAC OS X...
A toolset for handwriting recognition
An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.
Convert hand written mathematical expressions and formula to Latext using Machine Learning
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