Minor Finger Knuckle Print Image Enhancement Using CLAHE Technique

L. Sathiya and V. Palanisamy
Additional contact information
L. Sathiya: Alagappa University, Department of Computer Applications
V. Palanisamy: Alagappa University, Department of Computer Applications

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 681-688 from Springer

Abstract: Abstract The overall recognition rate of a biometric authentic system is completely depends upon the input of an image quality. Nowadays the image qualities are besmirched by some reasons such as apprehending the image of input devices, underprivileged quality of an image, large enlightenment dissimilarities of the inside and outside environments, pixel intensity level, etc. In biometrics based recognition system various physical and behavioral traits are used for recognition purpose. Here considering minor finger knuckle print trait is secondhand for authentication process. The main issue of the MinorFKP system is the quality of an image is relatively poor level and matching level of the image is difficult due to poor image quality. Therefore the CLAHE method is applied to MinorFKP image enhancement. The values of an MSE, RMSE and PSNR that the CLAHE technique considerably improves the better quality of MinorFKP images and reducing noise and artifacts.

Keywords: Image enhancement; Contrast limited adaptive histogram (CLAHE); PSNR; MSE; RMSE (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_67

Ordering information: This item can be ordered from
http://www.springer.com/9783030418625

DOI: 10.1007/978-3-030-41862-5_67

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().