ENHANCED IMAGE COMPRSSION MECHANISM TO INCREASE THE EFFICIENCY OF BIOMETRIC

Authors

  • Muskaan Research Scholar, Department of CSE, IIET Kinana Assistant Professir, Department of CSE, IIET Kinana
  • Deepika Research Scholar, Department of CSE, IIET Kinana Assistant Professir, Department of CSE, IIET Kinana

Keywords:

DIGITAL IMAGE, PROCESSING, HUFFMAN CODING

Abstract

In the research work, the implementation work is proposed in order to increase the efficiency of biometric. Different techniques of image compression have been discussed here. Loosy Image Compression Methods and Lossless Image Compression Methods are explained here. These are efficient techniques that are used to compress the graphical content in order to enhance the efficiency of biometric. Along with the HUFFMAN CODING is also utilized to fulfil the objective of research. In proposed work an algorithm based on Huffman Coding has been design to compress image with minimum loss in quality of image. It is most suitable for image transmission during networking. Here the comparison between the traditional and proposed work also highlighted. In proposed work an algorithm based on Huffman Coding has been design to compress image with minimum loss in quality of image. It is most suitable for image transmission during networking.

References

E. P. Kukula, M. J. Sutton, and S. J. Elliott, “The Human – Biometric-Sensor Interaction Evaluation Method : Biometric Performance and Usability Measurements,” pp. 1–8, 2010.

C. Rathgeb and A. Uhl, “Iris-Biometric Hash Generation for Biometric Database Indexing,” 2010. [3] M. Mozammel Hoque Chowdhury and Amina Khatun(2012) “Image Compression Using Discrete Wavelet Transform” International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, July 2012

Sandeep Kumar, Nidhi Garg (2012) “Integrated Data Hiding & Lossless IMAGE (GRAPHICS) Compression (reduction) dependent on SMVQ & IMAGE (GRAPHICS) Inpainting” International Journal of Science & Research, Volume 3 Issue 6, June 2012

Akshay KekrE (2013) “IMAGE (GRAPHICS) Compression (reduction) Using Wavelet Transform & Differential Pulse Code Modulation Technique” International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 7, July – 2013

Miss. S.S. Tamboli1, Dr. V. R. Udupi (2013), “IMAGE (GRAPHICS) compression (reduction) using haar Wavelet transform”, International Journal of Advanced Research in Computer & Communication Engineering Vol. 2, Issue 8, August 2013

Akshay Kekre(2013) “Image Compression Using Wavelet Transform And Differential Pulse Code Modulation Technique” International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 7, July – 2013

Miss. S.S. Tamboli1, Dr. V. R. Udupi (2013), “Image compression using haar Wavelet transform”, International Journal of Advanced Research in Computer & Communication Engineering Vol. 2, Issue 8, August 2013

S. C. Eastwood, V. P. Shmerko, S. N. Yanushkevich, and M. Drahansky, “Biometric Intelligence in Authentication Machines : From Talking Faces to Talking Robots,” 2014.

J. Galbally, S. Marcel, and J. Fierrez, “Image Quality Assessment for Fake Biometric Detection : Application to Iris , Fingerprint , and Face Recognition,” vol. 23, no. 2, pp. 710–724, 2014.

T.Karthikeyan, B.Praburaj, K.Kesavapandian (2014) “Wavelet Dependent IMAGE (GRAPHICS) Compression (reduction) Algorithms – A Study” International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 2277-7970) Volume-4 Number-1 Issue-14 March-2014

Dr. Vineet Richariya Mrs. Shweta Shrivastava Naman Agrawal (2014), “IMAGE (GRAPHICS) Compression (reduction) Technique Using Different Wavelet Function”, International Journal of Research in Computer & Communication Technology, Vol 3, Issue 5, May- 2014

Neha Pandey, Himani Agrawal (2014) wrote research paper on “Hybrid IMAGE (GRAPHICS) Compression (reduction) Dependent on Fuzzy Logic Technology”

Preeti Banerjee (2014) made research on “Designing & Implementation of Efficient Fuzzy Logic Dependent Fractal IMAGE (GRAPHICS) Compression (reduction) Technique within DCT Domain Using Quadtree Algorithm”

Usman Ali Khan, Sahar Arsha, Tahir Riaz Sindhu & Shayan Qazi (2014) “Wavelet Dependent IMAGE (GRAPHICS) Compression (reduction) Using Different Techniques: A Comparative Study” Mathematics Subject Classification: 93E11, 68P30.

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Published

30-06-2019

How to Cite

Muskaan, & Deepika. (2019). ENHANCED IMAGE COMPRSSION MECHANISM TO INCREASE THE EFFICIENCY OF BIOMETRIC. International Journal for Research Publication and Seminar, 10(2), 56–61. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1256

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Original Research Article