Multi-Resolution Probabilistic Information Fusion for Camera-based Document Image Matching

Given a part of a document image taken with any camera at an arbitrary orientation and sometimes far-from-perfect illumination, an important problem is to match this query image to the corresponding full image from a document database. We propose a novel multi-resolution robust methodology for the same. The method combines information from independent sources of measurement in a probabilistic framework. The proposed method is invariant to a large range of distortions, illumination changes, and is relatively resilient to noise and unmodelled objects present as clutter. To the best of our knowledge, no related work address all these issues.