Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication

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Sharma Sapna; Agrawal Shilpy; Munjal Manisha

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Journal Paper

Paper Information

Journal: Journal of Information Technology Management Year:2022 | Volume:14 | Issue:supplement 2 Page(s): 200-224

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Title

Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication

Author(s)

Sharma Sapna | Agrawal Shilpy | Munjal Manisha | Issue Writer Certificate

Keywords

Finger Vein

Filters

Histogram Equalization

Image Enhancement

MSE

Noise

PSNR

SSIM

Abstract

The most important aspects of image processing are Image Enhancement. The visual form of an image can be enhanced by using Image Enhancement techniques for better human interpretation. In this research paper we discuss an outline and analysis of commonly used Image Enhancement techniques using Finger Vein image or personal authentication. Also, experiments are carried out to compare performance of various types of Filters for removal of Noise from the noisy images through evaluation performance parameter such as mean square error (MSE), peak signal to Noise ratio (PSNR) values and structural similarity (SSIM). It was found that application of max filter technique ensures an improved quality of the Finger Vein image. The mean filter is most advanced in de-noising the images. Mean filter is most efficient in eliminating the salt and pepper Noise. From the experiments performed on Finger Vein image using SDUMLA-HMT database, it is proven that Weiner Filters are outstanding for elimination of Gaussian Speckle and Poisson Noises and thus, Weiner filter is found to be most appropriate and well-suited for eliminating nearly all types of Noise.

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APA: Copy

Sharma, Sapna, Agrawal, Shilpy, & Munjal, Manisha. (2022). Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 14(supplement 2), 200-224. SID. https://sid.ir/paper/977600/en

Vancouver: Copy

Sharma Sapna, Agrawal Shilpy, Munjal Manisha. Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2022;14(supplement 2):200-224. Available from: https://sid.ir/paper/977600/en

IEEE: Copy

Sapna Sharma, Shilpy Agrawal, and Manisha Munjal, “Technical Assessment of Various Image Enhancement Techniques using Finger Vein for personal Authentication,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 14, no. supplement 2, pp. 200–224, 2022, [Online]. Available: https://sid.ir/paper/977600/en

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