In mass disasters such as earthquakes, fire disasters, tsunami, and terrorism, dental records have been used for identifying victims due to their processing time and accuracy. The greater the number of victims, the more time the identification tasks require, since a manual comparison between the dental radiograph records is done by forensic experts. Addressing this problem, this paper presents an efficient dental radiograph recognition system using Phase-Only Correlation (POC) for human identification. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes possible to achieve highly robust image registration and recognition. Experimental evaluation using a set of dental radiographs indicates that the proposed system exhibits efficient recognition performance for low-quality images.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Koichi ITO, Akira NIKAIDO, Takafumi AOKI, Eiko KOSUGE, Ryota KAWAMATA, Isamu KASHIMA, "A Dental Radiograph Recognition System Using Phase-Only Correlation for Human Identification" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 1, pp. 298-305, January 2008, doi: 10.1093/ietfec/e91-a.1.298.
Abstract: In mass disasters such as earthquakes, fire disasters, tsunami, and terrorism, dental records have been used for identifying victims due to their processing time and accuracy. The greater the number of victims, the more time the identification tasks require, since a manual comparison between the dental radiograph records is done by forensic experts. Addressing this problem, this paper presents an efficient dental radiograph recognition system using Phase-Only Correlation (POC) for human identification. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes possible to achieve highly robust image registration and recognition. Experimental evaluation using a set of dental radiographs indicates that the proposed system exhibits efficient recognition performance for low-quality images.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.1.298/_p
Copy
@ARTICLE{e91-a_1_298,
author={Koichi ITO, Akira NIKAIDO, Takafumi AOKI, Eiko KOSUGE, Ryota KAWAMATA, Isamu KASHIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Dental Radiograph Recognition System Using Phase-Only Correlation for Human Identification},
year={2008},
volume={E91-A},
number={1},
pages={298-305},
abstract={In mass disasters such as earthquakes, fire disasters, tsunami, and terrorism, dental records have been used for identifying victims due to their processing time and accuracy. The greater the number of victims, the more time the identification tasks require, since a manual comparison between the dental radiograph records is done by forensic experts. Addressing this problem, this paper presents an efficient dental radiograph recognition system using Phase-Only Correlation (POC) for human identification. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes possible to achieve highly robust image registration and recognition. Experimental evaluation using a set of dental radiographs indicates that the proposed system exhibits efficient recognition performance for low-quality images.},
keywords={},
doi={10.1093/ietfec/e91-a.1.298},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - A Dental Radiograph Recognition System Using Phase-Only Correlation for Human Identification
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 298
EP - 305
AU - Koichi ITO
AU - Akira NIKAIDO
AU - Takafumi AOKI
AU - Eiko KOSUGE
AU - Ryota KAWAMATA
AU - Isamu KASHIMA
PY - 2008
DO - 10.1093/ietfec/e91-a.1.298
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2008
AB - In mass disasters such as earthquakes, fire disasters, tsunami, and terrorism, dental records have been used for identifying victims due to their processing time and accuracy. The greater the number of victims, the more time the identification tasks require, since a manual comparison between the dental radiograph records is done by forensic experts. Addressing this problem, this paper presents an efficient dental radiograph recognition system using Phase-Only Correlation (POC) for human identification. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes possible to achieve highly robust image registration and recognition. Experimental evaluation using a set of dental radiographs indicates that the proposed system exhibits efficient recognition performance for low-quality images.
ER -