Thermal Infrared Face Recognition – A Biometric Identification Technique for Robust Security system

Bhowmik, Mrinal Kanti; Saha, Kumarjit; Majumder, Sharmistha; Majumder, Goutam; Saha, Ashim; Sarma, Aniruddha Nath; Bhattacharjee, Debotosh; Basu, Dipak Kumar; Nasipuri, Mita

doi:10.5772/18986

Cited by 42 publications

(22 citation statements)

References 30 publications

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“…Other difficulties related to recognition process include variable nose and mouth temperatures caused by respiration, or glasses blocking thermal imaging. Also thermal face image is dependent on intensive physical activity, or eating [4].…”

Section: Biometric Authenticationmentioning

confidence: 99%

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Model for adaptable context-based biometric authentication for mobile devices

Wójtowicz

Joachimiak

2016

Pers Ubiquit Comput

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It becomes possible to take advantage of seamless biometric authentication on mobile devices due to increasing quality and quantity of built-in sensors, increasing processing power of the devices, and wireless connectivity. However, practical effectiveness of the biometric authentication application depends on user's environment conditions that can decrease the accuracy of biometrics recognition or make the acquisition process undesirable for mobile user in a given moment, i.e., effectiveness depends on usage context. In this paper, context-based biometric authentication model for mobile devices is proposed. It enables determining the most accurate authentication method at the moment along with the most accurate form of interacting with a user w.r.t. authentication process. The generic model designed and verified with proof-of-concept implementation constitutes a foundation for building further adaptable and extensible multi-factor context-dependent systems for mobile authentication.

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Section: Biometric Authenticationmentioning

confidence: 99%

“…A user walks through the passenger coach in the train. 4. A device is lying on the table, and a user interacts with it with her gestures.…”

Section: Decision Processmentioning

confidence: 99%

Model for adaptable context-based biometric authentication for mobile devices

Wójtowicz

Joachimiak

2016

Pers Ubiquit Comput

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“…IR radiation, which is primarily responsible for thermal radiation, falls within the wavelength range of approximately 0.74 µm to about 1000 µm, between the red end of the visible region and the microwave portion of the electromagnetic spectrum [17] ( Figure 1a). The infrared region of the electromagnetic spectrum (a) after [54]; (b) the spectral region between 0 and 15 µm, with the atmospheric windows and the infrared bands regions after [55]; (c) spectral distribution of energy radiated from blackbodies of various temperatures: red squares highlight the infrared bands used by the sensors of modern thermal cameras (Image credit: Ant Beck/CC-SA).…”

Section: Theoretical Principlesmentioning

confidence: 99%

Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies

et al. 2017

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Abstract:In this paper, the potential of Infrared Thermography (IRT) as a novel operational tool for landslide surveying, mapping and characterization was tested and demonstrated in different case studies, by analyzing various types of instability processes (rock slide/fall, roto-translational slide-flow). In particular, IRT was applied, both from terrestrial and airborne platforms, in an integrated methodology with other geomatcs methods, such as terrestrial laser scanning (TLS) and global positioning systems (GPS), for the detection and mapping of landslides' potentially hazardous structural and morphological features (structural discontinuities and open fractures, scarps, seepage and moisture zones, landslide drainage network and ponds). Depending on the study areas' hazard context, the collected remotely sensed data were validated through field inspections, with the purpose of studying and verifying the causes of mass movements. The challenge of this work is to go beyond the current state of the art of IRT in landslide studies, with the aim of improving and extending the investigative capacity of the analyzed technique, in the framework of a growing demand for effective Civil Protection procedures in landslide geo-hydrological disaster managing activities. The proposed methodology proved to be an effective tool for landslide analysis, especially in the field of emergency management, when it is often necessary to gather all the required information in dangerous environments as fast as possible, to be used for the planning of mitigation measures and the evaluation of hazardous scenarios. Advantages and limitations of the proposed method in the field of the explored applications were evaluated, as well as general operative recommendations and future perspectives.

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“…IR wavelengths are longer than that of visible light, but shorter than that of terahertz radiation microwaves (Bhowmik et al, 2012).…”

Section: Infrared Bands and Thermal Spectrummentioning

confidence: 99%

Pedestrians’ detection in thermal bands – Critical survey

Negied

Hemayed

Fayek

2015

Journal of Electrical Systems and Information Technology

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Thermal imaging is simply the technique of using the heat given off by an object to produce an image of it or locate it. New thermal imaging frameworks for detection, segmentation and unique feature extraction and similarity measurements for human physiological biometrics recognition have been introduced in literature. The research investigates specialized algorithms that would use the individual's heat signature for human detection, crowd counting and applications that take benefits of this new technology. The highly accurate results obtained by the algorithms presented clearly demonstrate the ability of the thermal infrared systems to extend in application to other thermal imaging based systems.

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Thermal Infrared Face Recognition – A Biometric Identification Technique for Robust Security system

Cited by 42 publications

References 30 publications

Model for adaptable context-based biometric authentication for mobile devices

Model for adaptable context-based biometric authentication for mobile devices

Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies

Pedestrians’ detection in thermal bands – Critical survey

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