Wide band spectroscopic skin detection for contactless hand biometrics

Ferrer, Miguel A.; Morales, Aythami; Travieso, Carlos M.; Alonso, Jesús B.

doi:10.1049/iet-cvi.2011.0062

Cited by 5 publications

(8 citation statements)

References 10 publications

(13 reference statements)

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“…In this new scenario, the results presented in this contribution show the necessity to include in hand-shape applications efficient countermeasures to repel the studied attacks [19,21].…”

Section: Introductionmentioning

confidence: 94%

A novel hand reconstruction approach and its application to vulnerability assessment

Gomez‐Barrero

Galbally

Morales

et al. 2014

Information Sciences

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in:Information Sciences 238 (2014) AbstractThe present work proposes a novel probabilistic method to reconstruct a hand shape image from its template. We analyse the degree of similarity between the reconstructed images and the original samples in order to determine whether the synthetic hands are able to deceive hand recognition systems. This analysis is made through the estimation of the success chances of an attack carried out with the synthetic samples against an independent system. The experimental results show that there is a high chance of breaking a hand recognition system using this approach. Furthermore, since it is a probabilistic method, several synthetic images can be generated from each original sample, which increases the success chances of the attack.

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“…In this new scenario, the results presented in this contribution show the necessity to include in hand-shape applications efficient countermeasures to repel the studied attacks [19,21].…”

Section: Introductionmentioning

confidence: 94%

A novel hand reconstruction approach and its application to vulnerability assessment

Gomez‐Barrero

Galbally

Morales

et al. 2014

Information Sciences

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“…All systems proposed in former methods are based on visible-near infrared or near infrared-short wavelength bands. Ferrer et al [210] proposed a new approach to increase the security of contactless biometric devices based on a skin detector which is designed using reflectance spectroscopy in visual, near infrared and short wave infrared bands. The experimental results are encouraging in compare with former single band systems.…”

Section: E Multispectral Skin Setectionmentioning

confidence: 99%

“…Dataset [195,99] VI. APPLICATIONS Skin segmentation technology is useful and sometimes substantial in wide range of biometric systems infolding face detection/tracking/recognition [36,179,234,145,248], pedestrian detection and tracking [131,256,257], gesture segmentation/recognition [6,29,31], content based image retrieval (CBIR) [5,21,72,121], biomedical imaging [125,258], surveillance systems [247], gaming interfaces [259], access control [95], video conferencing [113], human computer interaction (HCI) technology [243,229], detection of anchors in TV news videos for the sake of automatic annotation [72,253], robotics [8], content aware video compression [260], image color balancing [125,229], steganography [27,125], skin color reproduction [139], video phone or sign language recognition [9,109,243], and anti-spoofing [208,210].…”

Section: Performance Comparisonmentioning

confidence: 99%

“…Physical biometric spoofing attacks are associated with cases where an adversary tries to generate fake samples which are often undertaken by collecting latent fingerprints by force, compromising the personal security. A very common way to confront this issue is aliveness detection [210]. In contactless hand biometrics, aliveness information is available in the outer skin layer (epidermis) without touching it and detection could be performed by reflectance spectroscopy i.e.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…analyzing the different wavelength of the light reflected by the illuminated skin. The method which is developed in [210] exploits both visual, near infrared and short wave infrared bands skin detection for aliveness detection.…”

Section: Performance Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Survey on Human Skin Detection

Mahmoodi

Sayedi

2016

IJIGSP

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Human Skin detection is one of the most widely used algorithms in vision literature which has been numerously exploited both directly and indirectly in multifarious applications. This scope has received a great deal of attention specifically in face analysis and human detection/tracking/recognition systems. As regards, there are several challenges mainly emanating from nonlinear illumination, camera characteristics, imaging conditions, and intra-personal features. During last twenty years, researchers have been struggling to overcome these challenges resulting in publishing hundreds of papers. The aim of this paper is to survey applications, color spaces, methods and their performances, compensation techniques and benchmarking datasets on human skin detection topic, covering the related researches within more than last two decades. In this paper, different difficulties and challenges involved in the task of finding skin pixels are discussed. Skin segmentation algorithms are mainly based on color information; an in-depth discussion on effectiveness of disparate color spaces is elucidated. In addition, using standard evaluation metrics and datasets make the comparison of methods both possible and reasonable. These databases and metrics are investigated and suggested for future studies. Reviewing most existing techniques not only will ease future studies, but it will also result in developing better methods. These methods are classified and illustrated in detail. Variety of applications in which skin detection has been either fully or partially used is also provided.

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The Landscape of Research on Skin Detectors: Coherent Taxonomy, Open Challenges, Motivations, Recommendations and Statistical Analysis, Future Directions

et al. 2019

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This paper review and analysis the literature on skin detector (SD), in order to establish the coherent taxonomy and figure out the gap on this pivotal research area. An extensive search is conducted to identify articles that deal with skin detection, skin segmentation, skin tone detector, and skin recognition issues, related techniques are reviewed comprehensively and a coherent taxonomy of these articles is established. ScienceDirect, IEEE Xplore, and Web of Science databases are checked for articles on skin detector. A total of 2803 papers are collected from 2007 to February 2018. The set comprised 173 articles. The largest portion of the papers (n = 158/173) = 91% belong to Development and Design, that is aimed to develop an approach for skin classifier into skin and non-skin. A sum total of (n = 5/173) = 3% of the papers belong to Evaluation and Framework, (n = 10/173) = 6% papers was categorized as Comparative Study. This paper discusses the open challenges, motivations and recommendations of the related works. Furthermore, state-of-the-art is a step to demonstrate the novelty of the presented study by conducted a statistical analysis for previous studies such as (Dataset, Color spaces, features, image type, and Classification techniques) as a future direction for other researchers who are interested in SD.

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Wide band spectroscopic skin detection for contactless hand biometrics

Cited by 5 publications

References 10 publications

A novel hand reconstruction approach and its application to vulnerability assessment

A novel hand reconstruction approach and its application to vulnerability assessment

A Comprehensive Survey on Human Skin Detection

The Landscape of Research on Skin Detectors: Coherent Taxonomy, Open Challenges, Motivations, Recommendations and Statistical Analysis, Future Directions

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