The paper describes a method by which one could use the documents captured from low-resolution handheld devices to retrieve the originals of those documents from a document store. The method considers conjunctively two complementary feature sets. First, the geometrical distribution of the color in the document's 2D image plane is preferred. Secondly, the shallow layout features is considered due to the poor resolution of the captured documents. We propose in this article to fuse those two complementary feature sets in order to improve document identification performance. Finally, in order to test the influence of merging strategies on document identification performance, a synergic method is proposed and evaluated relative to a similar method in which feature sets are simply considered sequentially.
|Publication status||Published - 2 Nov 2005|
|Event||Association for Computing Machinery (ACM) Symposium on Document Engineering (DocEng) - Bristol, United Kingdom|
Duration: 2 Nov 2005 → 4 Nov 2005
|Conference||Association for Computing Machinery (ACM) Symposium on Document Engineering (DocEng)|
|Period||2/11/05 → 4/11/05|
Behera, A., Lalanne, D., & Ingold, R. (2005). Influence of fusion strategies on feature-based identification of low-resolution documents. 20-22. Paper presented at Association for Computing Machinery (ACM) Symposium on Document Engineering (DocEng), Bristol, United Kingdom. https://doi.org/10.1145/1096601.1096607