ENHANCED IMAGE COMPRESSION MECHANISM TO INCREASE EFFICIENCY OF BIOMETRICS

Authors

  • Muskaan
  • Deepika A.P, Department of CSE, IIET, Kinana

Keywords:

Biometrics, Image processing

Abstract

Biometrics has been considered as machinery. It categorizes the different kind of human being. It has been done to measure and analyze one or more unique behavior. The uniquely categorization may be made by measuring the physical traits. Proposed mechanism has been determined best as compare to present biometrics application. The Image compression is a sort of data compression. It is utilized with digital graphics, in order to reduce the cost for storage. The present work is providing the review of several image compression mechanisms. The discussed techniques are Loosy Image Compression Methods and Lossless Image Compression Methods. In this paper the explanation of discussion is made on an algorithm based on compression of the graphics. This algorithm is capable to reduce the loss in quality of the graphics content in biometric system. This paper is providing the explanation of PSNR calculation at the time of image processing. PSNR calculation is capable to enlarge the efficiency of biometric. The proposed system is different, making comparison to existing biometrics application. The proposed work would introduce the security at registration level and at transaction time. It can be considered highly appropriate for image transmission at the time of networking.

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Published

2019-03-30

How to Cite

Muskaan, & Deepika. (2019). ENHANCED IMAGE COMPRESSION MECHANISM TO INCREASE EFFICIENCY OF BIOMETRICS. Universal Research Reports, 6(1), 12–16. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/853

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Section

Original Research Article