Open AccessA Novel Methodology for Efficient Retrievals of Sketch Based Images using Local Binary Patterns and Generalized Gamma Mixture Models (GGMM)
Author(s) -
KDV Prasad,
Ande Prasad
Publication year - 2020
Publication title -
international journal of emerging science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2319-6378
DOI - 10.35940/ijese.g2331.016720
Subject(s) - sketch , computer science , artificial intelligence , narrative , binary number , image (mathematics) , pattern recognition (psychology) , natural language processing , computer vision , mathematics , algorithm , linguistics , philosophy , arithmetic
The enormous work in Information technology sector met towards the development of methodologies for identifying or retrieving the images based on content. However in specific conditions narration is the best suitable way to express and hence basing the views of narration sketch based images are thus developed and utilized. These sketch based images are most useful in criminal investigations. The present article portrays a methodology for retrieving such sketch based images using the statistical modeling approaches.