Face recognition in the SWIR band when using single sensor multi-wavelength imaging systems

Narang, Neeru; Bourlai, Thirimachos

doi:10.1016/j.imavis.2014.10.005

Cited by 30 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, several approaches have been proposed for face recognition in the infrared domain [37], [38]. In particular, for surveillance purposes, the SWIR range has been analysed by several research groups, either as solely source of information or in combination with visible light images [39]- [41]. The advantages of SWIR are mostly its robustness in challenging environmental conditions (e.g., with fog or at night time).…”

Section: Introductionmentioning

confidence: 99%

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Tolosana

Gomez‐Barrero

Busch

et al. 2020

IEEE Trans.Inform.Forensic Secur.

View full text Add to dashboard Cite

The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years. This has in turn led to the disclosure of security concerns specifically related to biometric systems. Among them, Presentation Attacks (PAs, i.e., attempts to log into the system with a fake biometric characteristic or presentation attack instrument) pose a severe threat to the security of the system: any person could eventually fabricate or order a gummy finger or face mask to impersonate someone else. The biometrics community has thus made a considerable effort to the development of automatic Presentation Attack Detection (PAD) mechanisms, for instance through the international LivDet competitions.In this context, we present a novel fingerprint PAD scheme based on i) a new capture device able to acquire images within the short wave infrared (SWIR) spectrum, and ii) an in-depth analysis of several state-of-the-art techniques based on both handcrafted and deep learning features. The approach is evaluated on a database comprising over 4700 samples, stemming from 562 different subjects and 35 different presentation attack instrument (PAI) species. The results show the soundness of the proposed approach with a detection equal error rate (D-EER) as low as 1.36% even in a realistic scenario where five different PAI species are considered only for testing purposes (i.e., unknown attacks).

show abstract

Section: Introductionmentioning

confidence: 99%

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Tolosana

Gomez‐Barrero

Busch

et al. 2020

IEEE Trans.Inform.Forensic Secur.

View full text Add to dashboard Cite

show abstract

“…data collection, transmission, data storage, signal processing and decision making. [2][3][4] The data collection module has its own challenges. For example, FR systems perform well with frontal faces captured under controlled conditions (indoors, short standoff distance, sufficient illumination).…”

Section: Introductionmentioning

confidence: 99%

Can we match ultraviolet face images against their visible counterparts?

2015

View full text Add to dashboard Cite

In law enforcement and security applications, the acquisition of face images is critical in producing key trace evidence for the successful identification of potential threats. However, face recognition (FR) for face images captured using different camera sensors, and under variable illumination conditions, and expressions is very challenging. In this paper, we investigate the advantages and limitations of the heterogeneous problem of matching ultra violet (from 100 nm to 400 nm in wavelength) or UV, face images against their visible (VIS) counterparts, when all face images are captured under controlled conditions.The contributions of our work are three-fold; (i) We used a camera sensor designed with the capability to acquire UV images at short-ranges, and generated a dual-band (VIS and UV) database that is composed of multiple, full frontal, face images of 50 subjects. Two sessions were collected that span over the period of 2 months. (ii) For each dataset, we determined which set of face image pre-processing algorithms are more suitable for face matching, and, finally, (iii) we determined which FR algorithm better matches cross-band face images, resulting in high rank-1 identification rates. Experimental results show that our cross spectral matching (the heterogeneous problem, where gallery and probe sets consist of face images acquired in different spectral bands) algorithms achieve sufficient identification performance. However, we also conclude that the problem under study, is very challenging, and it requires further investigation to address real-world law enforcement or military applications. To the best of our knowledge, this is first time in the open literature the problem of cross-spectral matching of UV against VIS band face images is being investigated.

show abstract

“…With the accessible design and narrowband responsivity at resonances, the sensor-on-chip quad-wavelength IR device developed in this work can be extend into multi-wavelength sensors for practical applications in portable IR spectroscopic devices such as in the truetemperature pyrometry, [46] IR color imaging for environmental detection and materials recognitions, [47] as well as IR remote sensing of atmospheric pollutions for controlling air quality. [48][49][50] Although the current 2D WAA-based multi-wavelength sensor already shows high directivity at normal incidence, the performance can be further improved by adopting a pinhole aperture, or collimator.…”

Section: Potential Applicationsmentioning

confidence: 99%

An On‐Chip Quad‐Wavelength Pyroelectric Sensor for Spectroscopic Infrared Sensing

et al. 2019

View full text Add to dashboard Cite

Merging photonic structures and optoelectronic sensors into a single chip may yield a sensor‐on‐chip spectroscopic device that can measure the spectrum of matter. In this work, an on‐chip concurrent multiwavelength infrared (IR) sensor, which consists of a set of narrowband wavelength‐selective plasmonic perfect absorbers combined with pyroelectric sensors, where the response of each pyroelectric sensor is boosted only at the resonance of the nanostructured absorber, is proposed and realized. The proposed absorber, which is based on Wood's anomaly absorption from a 2D plasmonic square lattice, shows a narrowband polarization‐independent resonance (quality factor – Q of 73) with a nearly perfect absorptivity as high as 0.99 at normal incidence. The fabricated quad‐wavelength IR sensors exhibit four different narrowband spectral responses at normal incidence following the predesigned resonances in the mid‐wavelength infrared region that corresponds to the atmospheric window. The device can be applied for practical spectroscopic applications such as nondispersive IR sensors, IR chemical imaging devices, pyrometers, and spectroscopic thermography imaging.

show abstract

Face recognition in the SWIR band when using single sensor multi-wavelength imaging systems

Cited by 30 publications

References 16 publications

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Can we match ultraviolet face images against their visible counterparts?

An On‐Chip Quad‐Wavelength Pyroelectric Sensor for Spectroscopic Infrared Sensing

Contact Info

Product

Resources

About