Location and detection of explosive-contaminated human fingerprints on distant targets using standoff laser-induced breakdown spectroscopy

Lucena, P.; Gaona, I.; Moros, Javier; Laserna, J.J.

doi:10.1016/j.sab.2013.04.003

Cited by 41 publications

(25 citation statements)

References 25 publications

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“…Lucena et al [24] has suggested the detection of explosive-contaminated human fingerprints technique, which constitutes an analytical challenge of high significance in security issues and in forensic sciences. The use of a laser-induced breakdown spectroscopy (LIBS) sensor working at 31 m distance to the target, fitted with 2D scanning capabilities and designed for capturing spectral information from laser-induced plasmas of fingerprints is presented.…”

Section: Literature Surveymentioning

confidence: 99%

Two Levels Fusion Based Multimodal Biometric Authentication Using Iris and Fingerprint Modalities

Sireesha¹,

Rani²,

Reddy³

et al. 2016

IJIES

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Abstract:In the document, we are intending to present an innovative technique for the multimodal biometric authentication. Initially the input image is preprocessed then offered to feature extraction, where the modified local binary pattern is effectively utilized. Thereafter, the extracted features are furnished to the feature level and score level fusions. In feature level fusion, extracted features are offered to the GSO where the optimal features are shortlisted, and are furnished to the optimized neural network which effectively detects the iris and fingerprint image. In score level fusion, extracted features from the iris image are offered to the PSO and naive bayes classifier here one score value is achieved. After that, extracted features from the fingerprint image are applied to the AGFS and then one score value is attained. Finally, both the score values are combined. The evaluation tools utilized precision, FAR and FRR. The proposed method implemented in MATLAB platform.

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Section: Literature Surveymentioning

confidence: 99%

Two Levels Fusion Based Multimodal Biometric Authentication Using Iris and Fingerprint Modalities

Sireesha¹,

Rani²,

Reddy³

et al. 2016

IJIES

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“…Reviews within the past five years cover the different techniques [101,[165][166][167][168][169][170]. Recent work has revealed the effects of substrate and interferent dependence [171] on analyte classification and how selective sampling can enable surface sensitivity [172][173][174][175][176]. Effects caused by wind [177], thermal radiation [166,178,179], and different atmospheres [179][180][181] were also investigated.…”

Section: Laser-induced Breakdown Spectroscopymentioning

confidence: 99%

Advances in explosives analysis—part II: photon and neutron methods

et al. 2015

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The number and capability of explosives detection and analysis methods have increased dramatically since publication of the Analytical and Bioanalytical Chemistry special issue devoted to Explosives Analysis [Moore DS, Goodpaster JV, Anal Bioanal Chem 395:245-246, 2009]. Here we review and critically evaluate the latest (the past five years) important advances in explosives detection, with details of the improvements over previous methods, and suggest possible avenues towards further advances in, e.g., stand-off distance, detection limit, selectivity, and penetration through camouflage or packaging. The review consists of two parts. Part I discussed methods based on animals, chemicals (including colorimetry, molecularly imprinted polymers, electrochemistry, and immunochemistry), ions (both ion-mobility spectrometry and mass spectrometry), and mechanical devices. This part, Part II, will review methods based on photons, from very energetic photons including X-rays and gamma rays down to the terahertz range, and neutrons.

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“…While the elemental analysis utilises calibration 9 , calibration -free 10,11 or multivariate methods 12 , classification/identification relies predominantly on the multivariate methods 3,12 . LIBS has added a new paradigm in various fields like space 13 , archaeology 14 , biology 15 , isomer identification 16 biomedical 17,18 , industrial 19 , defense 2,20 , food processing 21 , nuclear waste 22 and forensics 23,24 . LIBS received a boost with the availability of the compact, high power lasers and Echelle type gratings for the applications related to classification and identification of materials.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Reduce the Sample Consumption for LIBS based Identification of Explosive Materials

2017

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An experimental design based on spectral construction, which has potential to minimise the sample consumption, the number of laser shots and time required to collect the data from laser induced breakdown spectroscopy for identification of the explosive materials is reported in the study. This approach is an ideal solution in the field of hazardous material detection, where the availability of the sample can be a serious limiting factor. The experimental data recorded on a set of five high energy materials has been considered to test the performance of the proposed methodology. Multiple spectra are constructed by assuming a normal distribution at each wavelength of the spectrum, where random numbers are generated using the mean and standard deviations obtained from arbitrarily chosen five experimental spectra from each class. The newly generated spectra are called as synthetic spectra. The correct classification obtained from -K -nearest neighbour combined with principal component analysis and partial least square -discriminant analysis demonstrated very promising results. The correct classification rates differed by only 4 per cent -7 per cent as compared to conventional approach where experimental spectra alone are considered for the analysis. Further, when RDX is excluded, the obtained results are almost identical with conventional approach.

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Location and detection of explosive-contaminated human fingerprints on distant targets using standoff laser-induced breakdown spectroscopy

Cited by 41 publications

References 25 publications

Two Levels Fusion Based Multimodal Biometric Authentication Using Iris and Fingerprint Modalities

Two Levels Fusion Based Multimodal Biometric Authentication Using Iris and Fingerprint Modalities

Advances in explosives analysis—part II: photon and neutron methods

An Approach to Reduce the Sample Consumption for LIBS based Identification of Explosive Materials

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