Non-cooperative and Occluded Person Identification Using Periocular Region with Visible, Infra-Red, and Hyperspectral Imaging

2016 ◽  
pp. 223-251 ◽  
Author(s):  
Muhammad Uzair ◽  
Arif Mahmood ◽  
Somaya Ali Al-Maadeed
Keyword(s):  
Hyperspectral Imaging ◽  
Person Identification ◽  
Infra Red ◽  
Periocular Region

scholarly journals Examination of historical paintings by state-of-the-art hyperspectral imaging methods: from scanning infra-red spectroscopy to computed X-ray laminography

2014 ◽  
Vol 2 (1) ◽  
pp. 13 ◽  
Author(s):  
Stijn Legrand ◽  
Frederik Vanmeert ◽  
Geert Van der Snickt ◽  
Matthias Alfeld ◽  
Wout De Nolf ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
State Of The Art ◽  
Imaging Methods ◽  
X Ray ◽  
Infra Red

Multimodal Biometric Person Authentication Using Face, Ear and Periocular Region Based on Convolution Neural Networks

2021 ◽  
Author(s):  
M. S. Lohith ◽  
Yoga Suhas Kuruba Manjunath ◽  
M. N. Eshwarappa
Keyword(s):  
Feature Extraction ◽  
Recognition Rate ◽  
Feature Representation ◽  
Biometric System ◽  
Multimodal Biometrics ◽  
Person Identification ◽  
Large Dataset ◽  
Remarkable Improvement ◽  
Age Variations ◽  
Periocular Region

Biometrics is an active area of research because of the increase in need for accurate person identification in numerous applications ranging from entertainment to security. Unimodal and multimodal are the well-known biometric methods. Unimodal biometrics uses one biometric modality of a person for person identification. The performance of an unimodal biometric system is degraded due to certain limitations such as: intra-class variations and nonuniversality. The person identification using more than one biometric modality of a person is multimodal biometrics. This method of identification has gained more interest due to resistance on spoof attacks and more recognition rate. Conventional methods of feature extraction have difficulty in engineering features that are liable to more variations such as illumination, pose and age variations. Feature extraction using convolution neural network (CNN) can overcome these difficulties because large dataset with robust variations can be used for training, where CNN can learn these variations. In this paper, we propose multimodal biometrics at feature level horizontal fusion using face, ear and periocular region biometric modalities and apply deep learning CNN for feature representation and also we propose face, ear and periocular region dataset that are robust to intra-class variations. The evaluation of the system is made by using proposed database. Accuracy, Precision, Recall and [Formula: see text] score are calculated to evaluate the performance of the system and had shown remarkable improvement over existing biometric system.

scholarly journals Periocular region-based person identification in the visible, infrared and hyperspectral imagery

2015 ◽  
Vol 149 ◽  
pp. 854-867 ◽  
Author(s):  
Muhammad Uzair ◽  
Arif Mahmood ◽  
Ajmal Mian ◽  
Chris McDonald
Keyword(s):  
Hyperspectral Imagery ◽  
Person Identification ◽  
Periocular Region

scholarly journals Evaluation of the Data Quality from a Round-Robin Test of Hyperspectral Imaging Systems

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3812
Author(s):  
Ruven Pillay ◽  
Marcello Picollo ◽  
Jon Yngve Hardeberg ◽  
Sony George
Keyword(s):  
Hyperspectral Imaging ◽  
Short Wave ◽  
Round Robin ◽  
Operating Conditions ◽  
Imaging Systems ◽  
Valuable Insight ◽  
Round Robin Test ◽  
Wavelength Standard ◽  
Custom Made ◽  
Infra Red

In this study, the results from a round-robin test of hyperspectral imaging systems are presented and analyzed. Fourteen different pushbroom hyperspectral systems from eight different institutions were used to acquire spectral cubes from the visible, near infra-red and short-wave infra-red regions. Each system was used to acquire a common set of targets under their normal operating conditions with the data calibrated and processed using the standard processing pipeline for each system. The test targets consisted of a spectral wavelength standard and of a custom-made pigment panel featuring Renaissance-era pigments frequently found in paintings from that period. The quality and accuracy of the resulting data was assessed with quantitative analyses of the spectral, spatial and colorimetric accuracy of the data. The results provide a valuable insight into the accuracy, reproducibility and precision of hyperspectral imaging equipment when used under routine operating conditions. The distribution and type of error found within the data can provide useful information on the fundamental and practical limits of such equipment when used for applications such as spectral classification, change detection, colorimetry and others.

Electron Microscopy of Human Gallstones

1971 ◽  
Vol 29 ◽  
pp. 296-297
Author(s):  
C. Wolpers ◽  
R. Blaschke
Keyword(s):  
Electron Microscopy ◽  
Room Temperature ◽  
Bile Pigment ◽  
X Ray Diffraction ◽  
Triclinic Crystal System ◽  
X Ray ◽  
Follow Up Study ◽  
Infra Red ◽  
Main Components

Scanning microscopy was used to study the surface of human gallstones and the surface of fractures. The specimens were obtained by operation, washed with water, dried at room temperature and shadowcasted with carbon and aluminum. Most of the specimens belong to patients from a series of X-ray follow-up study, examined during the last twenty years. So it was possible to evaluate approximately the age of these gallstones and to get information on the intensity of growing and solving.Cholesterol, a group of bile pigment substances and different salts of calcium, are the main components of human gallstones. By X-ray diffraction technique, infra-red spectroscopy and by chemical analysis it was demonstrated that all three components can be found in any gallstone. In the presence of water cholesterol crystallizes in pane-like plates of the triclinic crystal system.

Hyperspectral Imaging Remote Sensing

2016 ◽  
Author(s):  
Dimitris Manolakis ◽  
Ronald Lockwood ◽  
Thomas Cooley
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging
Sign in / Sign up

Export Citation Format

Share Document