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Crnn Fa Printed 96 Long

Developed by hezarai
An OCR model optimized for Persian language, based on CNN+LSTM architecture, designed specifically for printed/scanned documents
Downloads 2,886
Release Time : 11/27/2023

Model Overview

This model is an upgraded version of the CRNN model for Persian OCR, improving recognition accuracy through expanded training datasets, adjusted input dimensions, and support for more characters.

Model Features

Enhanced Data Support
Training dataset expanded by 5 times with added support for numbers and special characters
Optimized Input/Output
Input image size adjusted to 32x384, maximum output length increased to 96 characters
Mixed Character Handling
Automatically processes numbers and other left-to-right characters mixed in text
Scenario Adaptability
Although optimized for printed text, it can be fine-tuned for scenarios like license plate recognition or handwritten text

Model Capabilities

Persian text recognition
Printed document OCR
Numeric and special character recognition
Mixed-direction text processing

Use Cases

Document Digitization
Persian Document Scanning
Convert printed Persian documents into editable text
Performs best on texts within 50 characters
Automated Processing
Form Recognition
Automatically identify Persian text and numeric information in forms
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