Scalable Image Classification Using Compression
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
The increasing rate of data growth has led to finding techniques for faster processing of data. Big Data analytics has recently emerged as a promising field for examining huge volume of datasets containing different data types. It is a known fact that image processing and retrieval involves high computation especiallywith a large dataset. We present a scalable method for face recognition based on sparse coding and dictionary learning. Sparse representation has closer resemblance with a cortex like image representation and thus more closer to human perception. The proposed method parallelizes the computation of image similarity for faster recognition.
Authors and Affiliations
Akshata K. Naik , Dr. Dinesh Acharya U
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