itc_scanner 0.0.3

Flutter plugin for extracting data from Ghana vehicle licensing documents using ML Kit text recognition. Simple integration for cross-platform document scanning.

Changelog

All notable changes to the ITC Scanner plugin will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.0.3 - 2025-08-14

Added

• Initial release of ITC Scanner plugin
• Support for Ghana vehicle document scanning
• Cross-platform support for Android (API 24+) and iOS (15.5+)
• ML Kit text recognition integration for high accuracy OCR
• Automatic extraction of the following fields:
  • Document Number (GB, GN, GE, A series, etc.)
  • Document ID (various alphanumeric formats)
  • Vehicle Make
  • Vehicle Model
  • Vehicle Color
  • Use Type (Private/Commercial)
  • Expiry Date
• Confidence scoring for each extracted field
• Built-in image enhancement for better OCR results
• Structured JSON response format
• Comprehensive error handling

Features

• Document Types: Ghana vehicle licensing documents
• Platforms: Android, iOS
• OCR Engine: Google ML Kit Text Recognition
• Output Format: Structured JSON with confidence scores
• Image Processing: Automatic enhancement and optimization
• Performance: Optimized for mobile device processing

Technical Details

• Android: Minimum API level 24, Kotlin 2.1.0, Gradle 8.7.3
• iOS: Minimum iOS 15.5, Swift 5.0, Xcode 14+
• Dependencies: ML Kit Text Recognition, Plugin Platform Interface
• Processing Time: Typically 100-2000ms depending on image complexity
• Memory Usage: Optimized for mobile devices with automatic image resizing

Known Limitations

• Currently supports only Ghana vehicle documents
• Requires good image quality and lighting for optimal results
• Document must be properly aligned and clearly visible

Future Roadmap

• Support for additional Ghana documents
• Enhanced accuracy for damaged or worn documents
• Batch processing capabilities
• Real-time camera scanning