This is the Windows app named SimpleHTR whose latest release can be downloaded as SimpleHTRsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
SimpleHTR
DESCRIPTION:
SimpleHTR is an open-source implementation of a handwriting text recognition system based on deep learning techniques. The project focuses on converting images of handwritten text into machine-readable digital text using neural networks. The system uses a combination of convolutional neural networks and recurrent neural networks to extract visual features and model sequential character patterns in handwriting. It also employs connectionist temporal classification (CTC) to align predicted character sequences with input images without requiring character-level segmentation. The repository provides code for training models, performing inference on handwritten text images, and evaluating recognition accuracy. SimpleHTR is commonly used as an educational example for understanding how modern handwriting recognition systems operate.
Features
- Deep learning handwriting recognition system based on CNN and RNN architectures
- End-to-end training pipeline for handwritten text recognition models
- Connectionist temporal classification loss for sequence alignment
- Inference tools for converting handwritten text images into digital text
- Dataset preparation utilities for training handwriting recognition models
- Educational implementation demonstrating modern OCR techniques
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/simplehtr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.