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Research Paper | Aerospace Engineering | India | Volume 7 Issue 7, July 2018
Evaluation of Basic Noise Removal and Image Enhancement Techniques for Iris Database
Kanchan S. Bhagat | Dr. Pramod B Patil
Abstract: Automated person identification is very important to improve the security level especially in highly sensitive areas. Human retina provides a reliable source for biometric based system which is almost impossible to forge. Here, we evaluate the performance of two basic stages of automated iris recognition, noise removal and image enhancement. Performance of various basic noise removal algorithms and image enhancement algorithms is evaluated on iris datasets. The performance of noise removal techniques is evaluated using PSNR, RMSE and correlation of coefficient. The performance of image enhancement is evaluated using Absolute mean difference, RMSE and Entropy. The work will provide a baseline for the researchers working in iris recognition for choosing the best noise removal and image enhancement technique.
Keywords: iris recognition, noise removal, image enhancement, PSNR, RMSE, Entropy, Absolute mean difference
Edition: Volume 7 Issue 7, July 2018,
Pages: 1055 - 1062
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M.Tech / M.E / PhD Thesis, Aerospace Engineering, India, Volume 5 Issue 5, May 2016
Pages: 1973 - 1976A Ballot Agency Performance under Data Secure Techniques
Junie Jose | Laxmi Gulappagol | Dr. Kb Shivakumar
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Research Paper, Aerospace Engineering, India, Volume 6 Issue 1, January 2017
Pages: 470 - 473Comparison of Watermarking in Compressed Digital Video using DCT, DWT and FFT
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