One-Pass Parallel Thinning: Analysis, Properties, and Quantitative Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
History, Current Status, and Future of Infrared Identification
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
The Imaging Issue in an Automatic Face/Disguise Detection System
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
Comparison of visible and infra-red imagery for face recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A Comparative Analysis of Face Recognition Performance with Visible and Thermal Infrared Imagery
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
A secure fingerprint matching technique
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Face Pose Estimation and its Application in Video Shot Selection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Thermal Face Recognition Over Time
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
IR and visible light face recognition
Computer Vision and Image Understanding
A Near-infrared Image Based Face Recognition System
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pose-Invariant Physiological Face Recognition in the Thermal Infrared Spectrum
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Registration of infra-red and visible-spectrum imagery for face recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
An automatic face recognition system in the near infrared spectrum
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Personal authentication using hand vein triangulation and knuckle shape
IEEE Transactions on Image Processing
Drunk person identification using thermal infrared images
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Biometrics beyond the visible spectrum: imaging technologies and applications
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Orientation and anisotropy of multi-component shapes from boundary information
Pattern Recognition
A graph-based framework for thermal faceprint characterization
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
TIR/VIS correlation for liveness detection in face recognition
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Some issues of biometrics: technology intelligence, progress and challenges
International Journal of Information Technology and Management
Infrared face recognition based on histogram and k-nearest neighbor classification
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Eustressed or distressed?: combining physiology with observation in user studies
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Drunk person identification using thermal infrared images
International Journal of Electronic Security and Digital Forensics
Face recognition in low resolution thermal images
Computer Vision and Image Understanding
Thermal cameras and applications: a survey
Machine Vision and Applications
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The current dominant approaches to face recognition rely on facial characteristics that are on or over the skin. Some of these characteristics have low permanency can be altered, and their phenomenology varies significantly with environmental factors (e.g., lighting). Many methodologies have been developed to address these problems to various degrees. However, the current framework of face recognition research has a potential weakness due to its very nature. We present a novel framework for face recognition based on physiological information. The motivation behind this effort is to capitalize on the permanency of innate characteristics that are under the skin. To establish feasibility, we propose a specific methodology to capture facial physiological patterns using the bioheat information contained in thermal imagery. First, the algorithm delineates the human face from the background using the Bayesian framework. Then, it localizes the superficial blood vessel network using image morphology. The extracted vascular network produces contour shapes that are characteristic to each individual. The branching points of the skeletonized vascular network are referred to as Thermal Minutia Points (TMPs) and constitute the feature database. To render the method robust to facial pose variations, we collect for each subject to be stored in the database five different pose images (center, midleft profile, left profile, midright profile, and right profile). During the classification stage, the algorithm first estimates the pose of the test image. Then, it matches the local and global TMP structures extracted from the test image with those of the corresponding pose images in the database. We have conducted experiments on a multipose database of thermal facial images collected in our laboratory, as well as on the time-gap database of the University of Notre Dame. The good experimental results show that the proposed methodology has merit, especially with respect to the problem of low permanence over time. More importantly, the results demonstrate the feasibility of the physiological framework in face recognition and open the way for further methodological and experimental research in the area.