Dorsal hand vein image enhancement using fusion of clahe and fuzzy adaptive gamma
Enhancement of captured hand vein images is essential for a number of purposes, such as accurate biometric identification and ease of medical intravenous access. This paper presents an improved hand vein image enhancement technique based on weighted average fusion of contrast limited adaptive histog...
Saved in:
Main Authors: | Marlina, Yakno, Junita, Mohamad-Saleh, M. Z., Ibrahim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/32365/1/Dorsal%20hand%20vein%20image%20enhancement%20using%20fusion%20of%20CLAHE.pdf http://umpir.ump.edu.my/id/eprint/32365/ https://doi.org/10.3390/s21196445 https://doi.org/10.3390/s21196445 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Grayscale and binary enhancement of dorsal hand vein images
by: Marlina, Yakno, et al.
Published: (2017) -
Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
by: Marlina, Yakno, et al.
Published: (2015) -
Modified Image Enhancement Algorithm For Dorsal Hand Veins Imaging
by: Gan, Siew Ling
Published: (2018) -
New Technique for Larger ROI Extraction of Hand Vein Images
by: Marlina, Yakno, et al.
Published: (2015) -
Fusion CLAHE-based image enhancement with fuzzy set theory on field images
by: Albahari, Elmaliana, et al.
Published: (2018)