Duplicate Detection for Quality Assurance of Document Image Collections
Abstract
Digital preservation workflows for image collections involving automatic and semi-automatic image acquisition and processing are prone to reduced quality. We present a method for quality assurance of scanned content based on computer vision. A visual dictionary derived from local image descriptors enables efficient perceptual image fingerprinting in order to compare scanned book pages and detect duplicated pages. A spatial verification step involving descriptor matching provides further robustness of the approach. Results for a digitized book collection of approximately 35.000 pages are presented. Duplicated pages are identified with high reliability and well in accordance with results obtained independently by human visual inspection.Details
- Creators
- Reinhold Huber-Mork; Alexander Schindler; Sven Schlarb
- Institutions
- Date
- 2012-09-01 00:00:00 +0000
- Keywords
- ischool; toronto; canada; digital preservation; information retrieval; image processing
- Publication Type
- paper
- License
- CC BY-NC-SA 3.0 AT
- Download
- 1772262 bytes