We propose a novel FPGA-based architecture for the extraction of four texture features using Gray Level Cooccurrence Matrix (GLCM) analysis. These features are angular second mome...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Dim...
The scientific significance of automatic logo detection and recognition is more and more growing because of the increasing requirements of intelligent document image analysis an...
The MIDAS project is developing infrastructure and policies for optimal display of digital information on devices with diverse characteristics. In this paper we present the prelim...
Unmil Karadkar, Richard Furuta, Jeevan Joseph John...
We present a novel, yet simple algorithm for clustering large collections of digital images. The method is applicable to consumer digital photo libraries, where it can be used to o...
This paper describes features and methods for document image comparison and classification at the spatial layout level. The methods are useful for visual similarity based document...
Jianying Hu, Ramanujan S. Kashi, Gordon T. Wilfong