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Document image retrieval using feature combination in Kernel space
E. Hassan, , M. Gopal
Published in
Pages: 2009 - 2012
The paper presents application of multiple features for word based document image indexing and retrieval. A novel framework to perform Multiple Kernel Learning for indexing using the Kernel based Distance Based Hashing is proposed. The Genetic Algorithm based framework is used for optimization. Two different features representing the structural organization of word shape are defined. The optimal combination of both the features for indexing is learned by performing MKL. The retrieval results for document collection belonging to Devanagari script are presented. © 2010 IEEE.
About the journal
JournalProceedings - International Conference on Pattern Recognition