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System of gender identification and age estimation from radiography: a review

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 5 (2023)

DOI
10.11591/ijece.v13i5.pp5491-5500
ISSN
2722-2578, 2088-8708
Published
2023-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Under extreme conditions postmortem, dental radiography examinations can play an essential role in individual identification. In forensic odontology, individual identification traditionally compares antemortem dental records radiographs with those obtained on postmortem examination. As such, these traditional methods are vulnerable to oversights or mistakes in the individual identification of unidentified bodies. Digital technology can develop forensic odontology well. An automatic individual identification system is needed to support the forensic odontology process more easily and quickly because there are still opportunities to be created. We aimed to review the complete range of recent developments in identifying individuals from panoramic radiographs. We study methods in gender identification, age estimation, radiographic segmentation, performance analysis, and promising future directions.

Collaboration network of the authors

40 authors · 97 co-authorship links · 22 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • Universitas Airlangga
  • University of Brawijaya
  • National Research and Innovation Agency
  • Hasanuddin University
  • University of Indonesia
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nanik SuciatiInstitut Teknologi Sepuluh Nopember10
Diana PurwitasariInstitut Teknologi Sepuluh Nopember9
Handayani TjandrasaInstitut Teknologi Sepuluh Nopember7
Siti RochimahInstitut Teknologi Sepuluh Nopember4
Anny YuniartiInstitut Teknologi Sepuluh Nopember3
Agus Zainal ArifinInstitut Teknologi Sepuluh Nopember2
Hari GinardiInstitut Teknologi Sepuluh Nopember2
Imam KuswardayanInstitut Teknologi Sepuluh Nopember2
Ahmad SaikhuInstitut Teknologi Sepuluh Nopember2
Narandha Arya RanggiantoInstitut Teknologi Sepuluh Nopember2
Sherly Rosa AnggraeniInstitut Teknologi Sepuluh Nopember2
Erika MaulidiyaInstitut Teknologi Sepuluh Nopember2
Hilya TsaniyaInstitut Teknologi Sepuluh Nopember2
Hendra MesraHasanuddin University2
Riyanarto SarnoInstitut Teknologi Sepuluh Nopember2
Nursanti Novi ArisaInstitut Teknologi Sepuluh Nopember2
Hadziq FabroyirInstitut Teknologi Sepuluh Nopember2
Bilqis AmaliahInstitut Teknologi Sepuluh Nopember1
M. Rahmat WidyantoUniversity of Indonesia1
Jayanti Yusmah SariUniversitas Halu Oleo1
Ratri Enggar PaweningAffiliation unknown1
Tio DarmawanInstitut Teknologi Sepuluh Nopember1
Rizqa Raaiqa BintanaInstitut Teknologi Sepuluh Nopember1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Nursuci Putri HusainInstitut Teknologi Sepuluh Nopember1
Putri Nur RahayuInstitut Teknologi Sepuluh Nopember1
Yuna SugianelaInstitut Teknologi Sepuluh Nopember1
Qonita Luthfia SutinoAffiliation unknown1
Evan TanuwijayaInstitut Teknologi Sepuluh Nopember1
Yuita Arum SariUniversity of Brawijaya1
Ratih Kartika DewiUniversity of Brawijaya1
Joko Lianto BulialiInstitut Teknologi Sepuluh Nopember1
Muhammad Zain Fawwaz Nuruddin SiswantoroAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>System of gender identification and age estimation from radiography: a review</dc:title><dc:creator>Nafi’iyah, Nur</dc:creator><dc:creator>Fatichah, Chastine</dc:creator><dc:creator>Herumurti, Darlis</dc:creator><dc:creator>Astuti, Eha Renwi</dc:creator><dc:creator>Putra, Ramadhan Hardani</dc:creator><dc:creator>Prakasa, Esa</dc:creator><dc:creator>Kristian, Yosi</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Under extreme conditions postmortem, dental radiography examinations can play an essential role in individual identification. In forensic odontology, individual identification traditionally compares antemortem dental records radiographs with those obtained on postmortem examination. As such, these traditional methods are vulnerable to oversights or mistakes in the individual identification of unidentified &amp;lt;span&amp;gt;bodies. Digital technology can develop forensic odontology well. An automatic individual identification system is needed to support the forensic odontology process more easily and quickly because there are still opportunities to be created. We aimed to review the complete range of recent developments in identifying individuals from panoramic radiographs. We study methods in gender identification, age estimation, radiographic segmentation, performance analysis, and promising future directions&amp;lt;/span&amp;gt;.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i5.pp5491-5500</dc:identifier><dc:identifier>10.11591/ijece.v13i5.pp5491-5500</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 5 (2023); 5491</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/31363/16847</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>