A preliminary report on a full-body imaging system for effectively collecting and processing biometric traits of prisoners

Huynh, Nhat Quang; Xu, Xingpeng; Kong, Adams Wai-Kin; Subbiah, Sathyan

doi:10.1109/cibim.2014.7015459

Cited by 14 publications

(9 citation statements)

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“…Huynh et al [19] used a patch-based-decision-trees approach to detect tattoos from prisoners' full body images. The images were taken by a full-body imaging system [19], which was designed to meet the requirement of the Singapore Police Force. For a fullbody image, a skin segmentation method is employed to remove the skin portion of the image.…”

Section: Tattoo Detectionmentioning

confidence: 99%

“…The images used in [19] are taken from a controlled environment with fixed poses and viewpoints. The images used in [36,39] are cropped close-up tattoo images.…”

Section: Tattoo Detectionmentioning

confidence: 99%

“…Full body human images are taken by the full-body imaging system [19] that was developed for Singapore Police Force. To collect full-body human images using the full-body imaging system, each subject is asked to make six standard poses in front of a black screen.…”

Section: Full Body Imaging Systemmentioning

confidence: 99%

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Tattoos in forensics : retrieval, detection and synthesis

Xu¹

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Section: Tattoo Detectionmentioning

confidence: 99%

“…The images used in [19] are taken from a controlled environment with fixed poses and viewpoints. The images used in [36,39] are cropped close-up tattoo images.…”

Section: Tattoo Detectionmentioning

confidence: 99%

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Tattoos in forensics : retrieval, detection and synthesis

Xu¹

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“…These gallery images are collected in a controlled environment under supervision of law enforcement officers. Thus, they can be easily segmented [144]. For probe images collected from crime scenes, they are generally processed semi-automatically or manually even in the current fingerprint identification process.…”

Section: Alignment and Positive Sample Generationmentioning

confidence: 99%

Criminal and victim identification based on soft biometrics

Chan¹

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Criminal and victim identification is always important in forensic investigation. However, it can be a very challenging problem for identifying criminals and victims in digital media when only their non-facial body sites are available in evidence images. These criminals and victims can be masked gunmen, paedophiles, and victims in child pornographic and voyeur images.To solve the above problem, several novel alignment and identification approaches are proposed in this thesis. Firstly, lower leg geometry is proposed as a soft biometric trait for criminal and victim identification. This study provides a foundation for further research based on body geometry. Secondly, leg geometry and hair follicles are proposed to align the androgenic hair patterns in consideration of viewpoint and pose variations, which were ignored by a recent paper suggesting androgenic hair patterns for identification.Experiments on 1,138 high and low resolution images from 283 different legs show that the proposed alignment algorithms provide improvements of 5%-10% on different experimental settings.Thirdly, a new approach is developed to improve the identification of androgenic hair patterns significantly. In the past, it was believed that androgenic hair patterns in low resolution images are not a distinctive biometric trait because of the previous result. A new algorithm, which makes use of leg geometry to align lower leg images, large feature sets (about 60,000 features) extracted through multi-directional gridding systems to increase discriminative power and robustness, the partial least squares (PLS) method to handle imbalanced training data and to perform the multi-grid feature fusion, and scheme I thank my fellow labmates in Biometrics and

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“…Note, that the wrist detection is out of scope in this study. There are some studies focusing on body parts detection in controlled[Huynh et al, 2014] or uncontrolled environments[Oliveira et al, 2016]. However, this work aims to show that wrist is a useful clue for identification.…”

mentioning

confidence: 99%

Criminal and victim identification based on deep and large feature sets from hand biometrics

Matkowski¹

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A preliminary report on a full-body imaging system for effectively collecting and processing biometric traits of prisoners

Cited by 14 publications

References 1 publication

Tattoos in forensics : retrieval, detection and synthesis

Tattoos in forensics : retrieval, detection and synthesis

Criminal and victim identification based on soft biometrics

Criminal and victim identification based on deep and large feature sets from hand biometrics

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