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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chan, F.K.-S. Kong, A.W.-K. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore (Chan, F.K.-S.; Kong, A.W.-K.) |
| Abstract | Identifying criminals and victims in digital media can be very challenging when neither their faces nor tattoos are observable. These criminals and victims can be masked gunmen, paedophiles, and victims in child pornographic images. Though skin marks and blood vessel patterns hidden in color images have been proposed to address this problem, they have different limitations. Blood vessel patterns are not suitable for subjects with high concentration of body fat or melanin and skin marks are not suitable for the cases where only low resolution images are available. A recent paper pointed out that androgenic hair, which is also called body hair, and its follicles can be used as biometric traits and demonstrated that androgenic hair patterns in low resolution images are effective for personal identification. In that study, viewpoint and pose variations were ignored, but these variations are unavoidable in real cases. To overcome the weaknesses of the previous method, this paper proposes an algorithm based on geometric information for aligning androgenic hair patterns on lower legs. The experimental results on 1,138 low resolution images from 283 different legs show that the proposed alignment algorithm offers more than 5% improvement. |
| Starting Page | 495 |
| Ending Page | 500 |
| File Size | 1573280 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.94 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hair Image resolution Image edge detection Biomedical imaging Legged locomotion Sampling methods Skin blood vessels Forensics biometrics skin marks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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