Name: A Novel Methodology for Efficient Retrievals of Sketch Based Images using Local Binary Patterns and Generalized Gamma Mixture Models (GGMM)
Keywords: 16. Peace & justice

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 25 Jan 2020Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Emerging Science and Engineering, volume 6, pages 5-9 (eissn: 2319-6378,

Authors: Ande Prasad; K M Vara Prasad;

doi: 10.35940/ijese.g2331.016720

A Novel Methodology for Efficient Retrievals of Sketch Based Images using Local Binary Patterns and Generalized Gamma Mixture Models (GGMM)

- Summary
- Metrics

Abstract

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.

Related Organizations

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average