Duplicate Detection for Quality Assurance of Document Image Collections
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.
["Huber-Mork, Reinhold", "Schindler, Alexander", "Schlarb, Sven"]
["ischool", "toronto", "canada", "digital preservation", "information retrieval", "image processing"]