Finger-Vein Image Inpainting Based on an Encoder-Decoder Generative Network

2018 ◽  
pp. 87-97
Author(s):  
Dan Li ◽  
Xiaojing Guo ◽  
Haigang Zhang ◽  
Guimin Jia ◽  
Jinfeng Yang
Keyword(s):  
Image Inpainting ◽  
Finger Vein

scholarly journals Finger Vein Image Inpainting With Gabor Texture Constraints

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 83041-83051
Author(s):  
Hang Yang ◽  
Lei Shen ◽  
Yu-Dong Yao ◽  
Huaxia Wang ◽  
Guodong Zhao
Keyword(s):  
Image Inpainting ◽  
Finger Vein

IRIS AND FINGER VEIN MULTI MODEL RECOGNITION SYSTEM BASED ON SIFT FEATURES

2018 ◽  
Vol 1 (2) ◽  
pp. 34-44
Author(s):  
Faris E Mohammed ◽  
Dr. Eman M ALdaidamony ◽  
Prof. A. M Raid
Keyword(s):  
Iris Recognition ◽  
Recognition Performance ◽  
Recognition System ◽  
Individual Identification ◽  
Work Place ◽  
Identification Process ◽  
Finger Vein ◽  
Noise Point ◽  
Vein Recognition ◽  
A New Technique

Individual identification process is a very significant process that resides a large portion of day by day usages. Identification process is appropriate in work place, private zones, banks …etc. Individuals are rich subject having many characteristics that can be used for recognition purpose such as finger vein, iris, face …etc. Finger vein and iris key-points are considered as one of the most talented biometric authentication techniques for its security and convenience. SIFT is new and talented technique for pattern recognition. However, some shortages exist in many related techniques, such as difficulty of feature loss, feature key extraction, and noise point introduction. In this manuscript a new technique named SIFT-based iris and SIFT-based finger vein identification with normalization and enhancement is proposed for achieving better performance. In evaluation with other SIFT-based iris or SIFT-based finger vein recognition algorithms, the suggested technique can overcome the difficulties of tremendous key-point extraction and exclude the noise points without feature loss. Experimental results demonstrate that the normalization and improvement steps are critical for SIFT-based recognition for iris and finger vein , and the proposed technique can accomplish satisfactory recognition performance. Keywords: SIFT, Iris Recognition, Finger Vein identification and Biometric Systems.   © 2018 JASET, International Scholars and Researchers Association    

Object-centered View Synthesis using Learning-based Image Inpainting

2019 ◽  
pp. 154
Author(s):  
HONG-CHANG SHIN ◽  
Gwangsoon Lee ◽  
Ho min Eum ◽  
Jeong-Il Seo
Keyword(s):  
Image Inpainting ◽  
View Synthesis

New design of finger-vein identification algorithm against image rotation

2013 ◽  
Vol 32 (11) ◽  
pp. 3193-3197
Author(s):  
Lu TANG ◽  
Shuang-ping PENG
Keyword(s):  
Identification Algorithm ◽  
Image Rotation ◽  
Finger Vein

Image inpainting algorithm based on double-cross curvature-driven diffusion model

2013 ◽  
Vol 33 (12) ◽  
pp. 3536-3539
Author(s):  
Donghai ZHAI ◽  
Wenjie ZUO ◽  
Weixia DUAN ◽  
Jiang YU ◽  
Tongliang LI
Keyword(s):  
Diffusion Model ◽  
Image Inpainting ◽  
Curvature Driven ◽  
Double Cross
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