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| Wu,Xiu-Ping; Han,Jian-Ning; Fen,Pan; Wang,Yu-Jin; Bing,Li. |
| To investigate the feasibility of application of digital images of the palatal rugae in forensic identification. One hundred patients, consisting of 50 males and 50 females, who received treatment between January 2015 and June 2015 at Shanxi Medical University Stomatological Hospital, China, were included in this study. High-resolution digital image of the palatal rugae was taken from each patient using a digital SLR camera and then processed using a digital image recognition system, including noise reduction, contrast enhancement, image segmentation, feature extraction, edge detection and information matching. Using an MATLAB software system, match results and the time taken by each operator for information matching were recorded. The digital image... |
| Tipo: Journal article |
Palavras-chave: Forensic anthropology; Forensic stomatologia; Palatal rugae; Identification. |
| Ano: 2016 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022016000200017 |
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| Bing,Li; Wu,Xiu-Ping; Feng,Yin; Wang,Yu-Jin; Liu,Hong-Chen. |
| This study aims to explore the role of palatal rugae pattern in forensic identification by coding of palatal rugae characteristics, and to construct a forensic identification system for oral palatal rugae. One hundred models were included in this study for a systemic coding of palatal rugae pattern based on the shape, quantity, location, and distribution of palatal rugae. Among the involved 100 models, palatal rugae types varied among individuals and palatal rugae pattern was different between men and women, even between two sides in the same individual. Palatal rugae pattern can be used for forensic identification of oral soft tissue and this study proposes a new means for the identification by coding of palatal rugae pattern based on the shape, quantity,... |
| Tipo: Journal article |
Palavras-chave: Palatal rugae; Identification; Coding. |
| Ano: 2014 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000200028 |
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