Physiology-Based Face Recognition in the Thermal Infrared Spectrum

Buddharaju, Pradeep; Pavlidis, Ioannis

doi:10.1201/b12938-19

Cited by 45 publications

(72 citation statements)

References 19 publications

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“…In a series of publications, it is concluded that alcohol alters the correct operation of the system responsible for thermoregulation [2,3], generating an induced vasodilation in the skin, which increases heat loss through convection, leading to a decrease in body temperature that is directly related to the amount of alcohol consumed.…”

Section: Introductionmentioning

confidence: 99%

Face Recognition and Drunk Classification Using Infrared Face Images

et al. 2018

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The aim of this study is to propose a system that is capable of recognising the identity of a person, indicating whether the person is drunk using only information extracted from thermal face images. The proposed system is divided into two stages, face recognition and classification. In the face recognition stage, test images are recognised using robust face recognition algorithms: Weber local descriptor (WLD) and local binary pattern (LBP). The classification stage uses Fisher linear discriminant to reduce the dimensionality of the features, and those features are classified using a classifier based on a Gaussian mixture model, creating a classification space for each person, extending the state-of-the-art concept of a "DrunkSpace Classifier." The system was validated using a new drunk person database, which was specially designed for this work. The main results show that the performance of the face recognition stage was 100% with both algorithms, while the drunk identification saw a performance of 86.96%, which is a very promising result considering 46 individuals for our database in comparison with others that can be found in the literature.

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Section: Introductionmentioning

confidence: 99%

Face Recognition and Drunk Classification Using Infrared Face Images

et al. 2018

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“…Infrared cameras can provide information on specific species if the species has a discriminative shape (for instance, humans have been detected based on thermal shape [59]). Research has been performed in identification of individual human beings based on their thermal information (such as, face recognition by capturing facial physiological patterns using the bio-heat information contained in thermal images [60]). By considering and counting the hotspots in a thermal image the crowd behavior can also be analyzed [61].…”

Section: Discussionmentioning

confidence: 99%

Lattitude, Longitude, and Beyond : Mining Mobile Object's Behavior

Baratchi¹

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“…In recent years, researchers have realized the potential of thermal MWIR imagery for human identification using the vein structure of hands [Lin and Fan 2004;Im et al 2003], finger vein patterns Shimizu 2004, Miura et al 2004], and vein structure of the human face [Buddharaju et al, 2007]. The research performed by presents for the first time an algorithmic approach to face detection using MWIR images.…”

Section: Research Problemmentioning

confidence: 99%

Thermal Imaging As A Biometrics Approach To Facial Signature Authentication

Tamayo¹

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Physiology-Based Face Recognition in the Thermal Infrared Spectrum

Cited by 45 publications

References 19 publications

Face Recognition and Drunk Classification Using Infrared Face Images

Face Recognition and Drunk Classification Using Infrared Face Images

Lattitude, Longitude, and Beyond : Mining Mobile Object's Behavior

Thermal Imaging As A Biometrics Approach To Facial Signature Authentication

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