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Trocr Small Handwritten

Developed by microsoft
TrOCR is a Transformer-based optical character recognition model specifically designed for handwritten text image recognition.
Downloads 517.96k
Release Time : 3/2/2022

Model Overview

The TrOCR model is an encoder-decoder model composed of an image Transformer encoder and a text Transformer decoder, specifically designed for optical character recognition (OCR) of single-line text images.

Model Features

Transformer-based architecture
Utilizes advanced Transformer architecture, combining image and text processing capabilities for efficient OCR.
Pre-trained model fine-tuning
Image encoder is based on DeiT pre-training, text decoder is based on UniLM pre-training, fine-tuned on the IAM handwritten dataset.
End-to-end recognition
Directly processes from image input to text output without complex preprocessing steps.

Model Capabilities

Handwritten text recognition
Single-line text image processing
English character recognition

Use Cases

Document digitization
Handwritten notes transcription
Convert handwritten note images into editable text format
Accurately recognizes handwritten text in the IAM test set
Historical archives processing
Historical manuscript transcription
Digitize historical handwritten documents
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