DocumentCode
2847416
Title
Fundamental statistics of relatively permanent pigmented or vascular skin marks for criminal and victim identification
Author
Nurhudatiana, Arfika ; Kong, Adams Wai-Kin ; Matinpour, Keyan ; Cho, Siu-Yeung ; Craft, Noah
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2011
fDate
11-13 Oct. 2011
Firstpage
1
Lastpage
6
Abstract
Recent technological advances have allowed for a proliferation of digital images that may be involved in crimes. Using these images as evidence in legal cases like child pornography and masked gunmen can be challenging because usually the faces of the suspects are not visible. To perform personal identification in these images, we propose a biometric trait composed of a group of skin marks including, but not limited to, nevi, lentigines, cherry hemangiomas, and seborrheic keratoses. Due to their biological characteristics, we have grouped these as "Relatively Permanent Pigmented or Vascular Skin Marks," abbreviated as RPPVSM. As statistical study of RPPVSM is essential before investigating their discriminative power, we present in this paper the fundamental statistics of RPPVSM. Back torso images were collected from 144 Caucasian, Asian, and Latino males, and a researcher trained in dermatology manually identified their RPPVSMs. The statistical results show that Caucasians tend to have more RPPVSMs than Asians and Latinos, and over 80 percent of middle to low density RPPVSM patterns are independently and uniformly distributed.
Keywords
biometrics (access control); face recognition; police data processing; statistical analysis; Asian male images; Caucasian male images; Latino male images; biological characteristics; biometric trait; child pornography; criminal identification; digital image proliferation; fundamental statistics; masked gunmen; permanent pigmented marks; personal identification; torso images; vascular skin marks; victim identification; Nickel; forensics; personal identification; skin marks; spatial point pattern distribution; statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics (IJCB), 2011 International Joint Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-1358-3
Electronic_ISBN
978-1-4577-1357-6
Type
conf
DOI
10.1109/IJCB.2011.6117496
Filename
6117496
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