Lightweight Stamp Image Bursting Application with OCR Support

Lightweight Stamp Image Bursting Application with OCR Support

Overview

A lightweight stamp image bursting application splits scanned stamp sheets or images into individual stamp images with minimal resource usage. Built for collectors and small businesses, it focuses on fast processing, small footprint, and essential features like OCR to read textual elements (country, denomination, issue date) printed on stamps.

Key Features

• Fast burst/split: Detects stamp boundaries and crops individual stamps automatically.
• OCR support: Extracts text from stamps (e.g., country, denomination, inscriptions) using an embedded OCR engine.
• Low resource usage: Small install size, efficient memory and CPU usage; suitable for older PCs and mobile devices.
• Batch processing: Process multiple images/folders in one run with configurable output naming.
• Basic image cleanup: Auto-rotation, deskew, contrast/brightness adjustments, and optional background removal.
• Configurable detection: Set expected rows/columns, margins, or use adaptive detection for irregular layouts.
• Export options: Save individual stamps as JPEG/PNG/TIFF, and export OCR results as CSV or JSON.
• Preview and manual adjustment: Quick UI to review detected crops and adjust or merge splits before export.

Technical Approach

• Detection algorithm: Combination of edge detection (Canny), morphological operations, contour finding, and Hough transform for grid-aligned sheets; alternative connected-component analysis for irregular layouts.
• OCR engine: Lightweight on-device OCR like Tesseract or a compact ML model; includes language packs for common stamp languages.
• Performance optimizations: Downscale for detection, process full-resolution crops for final output, multi-threaded batch pipeline, optional GPU acceleration.
• File handling: Preserve EXIF metadata; support multi-page TIFFs and PDFs via image conversion library.

User Workflow (1–2 minutes per batch)

1. Load images or folder.
2. Choose detection mode: grid / adaptive / manual.
3. Run burst; review thumbnails.
4. Adjust crops or correct OCR entries if needed.
5. Export images and OCR CSV/JSON.

Implementation Considerations

• Prioritize speed and accuracy trade-offs (fewer false splits vs. missing stamps).
• Provide language selection and OCR training for uncommon scripts.
• Offer auto-save templates for different sheet types.
• Ensure privacy: process locally where possible; if cloud OCR used, allow opt-in.

Suitable Users

• Stamp collectors digitizing sheets.
• Small auction houses or dealers needing quick cataloging.
• Hobbyist developers integrating lightweight stamp splitting into workflows.