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BACKGROUND Much attention has been recently focused on the role of cancer stem cells (CSCs) in the initiation and progression of solid malignancies. Since CSCs are able to proliferate and self-renew extensively due to their ability to express anti-apoptotic and drug resistant proteins, thus sustaining tumor growth. Therefore, the strategy to eradicate CSCs(More)
This paper presents a robust two-stage face recognition approach that combines the traits of global features in first stage and the local features in second stage. The global features are extracted from Zernike moments (ZMs) method that encompasses the useful characteristics of being invariant to image rotation, scale, and noise. The local features are(More)
A post-processing system for OCR of Gurmukhi script has been developed. Statistical information of Punjabi language syllable combinations, corpora look-up and certain heuristics based on Punjabi grammar rules have been combined to design the post-processor. An improvement of 3% in recognition rate, from 94.35% to 97.34%, has been reported on clean images(More)