Title :
Anchor point selection by KL-divergence
Author_Institution :
Eastman Kodak
Abstract :
Selecting anchor points for the identification of scanned documents can be an effective and quick means of identifying unknown documents. Here, we discuss and compare some strategies for classification of scanned forms using anchor points and show experiments indicating that a robust system can be built with only a few training examples.
Keywords :
classification; document handling; KL-divergence; anchor point selection; classification; identification; scanned documents; Accuracy; Business; Databases; Gaussian distribution; Histograms; Optimization; Postal services; Anchor Point Selection; Document Fingerprinting;
Conference_Titel :
Image Processing Workshop (WNYIPW), 2010 Western New York
Conference_Location :
Rochester, NY
Print_ISBN :
978-1-4244-9298-5
DOI :
10.1109/WNYIPW.2010.5649752
