Vein identification for forensic investigation

With newly developed methods, blood vessel patterns hidden in color images become observable. In this research, we extend traditional blood vessel recognition from high quality blood vessel patterns collected from fingers, hands and wrists to low quality blood vessel patterns collected from other bo...

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Main Author: Zhang Hengyi
Other Authors: Kong Wai-Kin Adams
Format: Theses and Dissertations
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/63320
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-633202023-03-04T00:33:27Z Vein identification for forensic investigation Zhang Hengyi Kong Wai-Kin Adams School of Computer Engineering Forensics and Security Lab DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision With newly developed methods, blood vessel patterns hidden in color images become observable. In this research, we extend traditional blood vessel recognition from high quality blood vessel patterns collected from fingers, hands and wrists to low quality blood vessel patterns collected from other body parts, where skin is thicker. Blood vessel extraction and matching algorithms with special schemes designed for noisy patterns are proved to be effective for both infrared images and color images. Two fusion rules are also designed to combine blood vessel patterns uncovered by different methods. The encouraging matching results and the genetic dependence analysis show the potential of body blood vessel patterns for forensic investigation. According to our best knowledge, no one did similar research before. For evaluation of the proposed algorithms, we have developed a skin image collection system capturing both color and NIR images from 328 individuals. The experimental results on 1900 color images and 1900 infrared images from 490 forearms and 460 thighs demonstrate that the matching performance of the blood vessel patterns from the color images is comparable with that from the infrared images. With the proposed automatic blood vessel pattern matching algorithm, we also analyze and measure the similarity between 234 genetically identical forearm pairs and 204 genetically identical thigh pairs. Experimental results indicate that genetically identical blood vessel patterns have extra similarity, but they are distinguishable. Blood vessel uncovering methods are also improved during this research in two approaches. The first approach is based on image mapping using synchronized color and NIR image pairs and a neural network (NN) with automatic adjustment in weights and image intensities. The second approach uses multiple mapping models and local parameter estimation to improve the visualization of blood vessel patterns. The uncovering methods are also applied to images collected from the Internet. Doctor of Philosophy (SCE) 2015-05-12T06:31:45Z 2015-05-12T06:31:45Z 2015 2015 Thesis Zhang, H. (2015). Vein identification for forensic investigation. Doctoral thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/63320 en 191 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Zhang Hengyi
Vein identification for forensic investigation
description With newly developed methods, blood vessel patterns hidden in color images become observable. In this research, we extend traditional blood vessel recognition from high quality blood vessel patterns collected from fingers, hands and wrists to low quality blood vessel patterns collected from other body parts, where skin is thicker. Blood vessel extraction and matching algorithms with special schemes designed for noisy patterns are proved to be effective for both infrared images and color images. Two fusion rules are also designed to combine blood vessel patterns uncovered by different methods. The encouraging matching results and the genetic dependence analysis show the potential of body blood vessel patterns for forensic investigation. According to our best knowledge, no one did similar research before. For evaluation of the proposed algorithms, we have developed a skin image collection system capturing both color and NIR images from 328 individuals. The experimental results on 1900 color images and 1900 infrared images from 490 forearms and 460 thighs demonstrate that the matching performance of the blood vessel patterns from the color images is comparable with that from the infrared images. With the proposed automatic blood vessel pattern matching algorithm, we also analyze and measure the similarity between 234 genetically identical forearm pairs and 204 genetically identical thigh pairs. Experimental results indicate that genetically identical blood vessel patterns have extra similarity, but they are distinguishable. Blood vessel uncovering methods are also improved during this research in two approaches. The first approach is based on image mapping using synchronized color and NIR image pairs and a neural network (NN) with automatic adjustment in weights and image intensities. The second approach uses multiple mapping models and local parameter estimation to improve the visualization of blood vessel patterns. The uncovering methods are also applied to images collected from the Internet.
author2 Kong Wai-Kin Adams
author_facet Kong Wai-Kin Adams
Zhang Hengyi
format Theses and Dissertations
author Zhang Hengyi
author_sort Zhang Hengyi
title Vein identification for forensic investigation
title_short Vein identification for forensic investigation
title_full Vein identification for forensic investigation
title_fullStr Vein identification for forensic investigation
title_full_unstemmed Vein identification for forensic investigation
title_sort vein identification for forensic investigation
publishDate 2015
url http://hdl.handle.net/10356/63320
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