Automated human age estimation at death via bone microstructures

Ijaz Khan, Muhammad Mahadi Abdul Jamil, Tengku Nadzlin Tengku Ibrahim, Faridah Mohd. Nor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper present a proposed method for automatic human age at death estimation using image processing and pattern recognition techniques. The bone samples are taken from ulna, radius, humerus, femur, tibia and fibula of Malaysian population. Ten different bone microstructures are selected for analysis in order to create regression equation for age estimation. Selected microstructure can be extracted using image preprocessing and texture extraction algorithms. Different classification methods are proposed for automatic human age estimation in Malaysian population. This paper provide significant implications in the computation of fragmentary skeletal remains and forensic population samples for age estimation purpose.

Original languageEnglish
Title of host publicationProceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages580-583
Number of pages4
ISBN (Electronic)9781509011780
DOIs
Publication statusPublished - 5 Apr 2017
Event6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 - Batu Ferringhi, Penang, Malaysia
Duration: 25 Nov 201627 Nov 2016

Other

Other6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
CountryMalaysia
CityBatu Ferringhi, Penang
Period25/11/1627/11/16

Fingerprint

Bone
Microstructure
Pattern Recognition
Pattern recognition
Preprocessing
Texture
Image Processing
Image processing
Textures
Regression
Radius
Human

Keywords

  • age at death estimation
  • bone microstructures
  • histomorphometry
  • image processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

Cite this

Khan, I., Jamil, M. M. A., Ibrahim, T. N. T., & Mohd. Nor, F. (2017). Automated human age estimation at death via bone microstructures. In Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 (pp. 580-583). [7893642] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2016.7893642

Automated human age estimation at death via bone microstructures. / Khan, Ijaz; Jamil, Muhammad Mahadi Abdul; Ibrahim, Tengku Nadzlin Tengku; Mohd. Nor, Faridah.

Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 580-583 7893642.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khan, I, Jamil, MMA, Ibrahim, TNT & Mohd. Nor, F 2017, Automated human age estimation at death via bone microstructures. in Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016., 7893642, Institute of Electrical and Electronics Engineers Inc., pp. 580-583, 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016, Batu Ferringhi, Penang, Malaysia, 25/11/16. https://doi.org/10.1109/ICCSCE.2016.7893642
Khan I, Jamil MMA, Ibrahim TNT, Mohd. Nor F. Automated human age estimation at death via bone microstructures. In Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 580-583. 7893642 https://doi.org/10.1109/ICCSCE.2016.7893642
Khan, Ijaz ; Jamil, Muhammad Mahadi Abdul ; Ibrahim, Tengku Nadzlin Tengku ; Mohd. Nor, Faridah. / Automated human age estimation at death via bone microstructures. Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 580-583
@inproceedings{355150feaa3642d392daf5b6a683db44,
title = "Automated human age estimation at death via bone microstructures",
abstract = "This paper present a proposed method for automatic human age at death estimation using image processing and pattern recognition techniques. The bone samples are taken from ulna, radius, humerus, femur, tibia and fibula of Malaysian population. Ten different bone microstructures are selected for analysis in order to create regression equation for age estimation. Selected microstructure can be extracted using image preprocessing and texture extraction algorithms. Different classification methods are proposed for automatic human age estimation in Malaysian population. This paper provide significant implications in the computation of fragmentary skeletal remains and forensic population samples for age estimation purpose.",
keywords = "age at death estimation, bone microstructures, histomorphometry, image processing",
author = "Ijaz Khan and Jamil, {Muhammad Mahadi Abdul} and Ibrahim, {Tengku Nadzlin Tengku} and {Mohd. Nor}, Faridah",
year = "2017",
month = "4",
day = "5",
doi = "10.1109/ICCSCE.2016.7893642",
language = "English",
pages = "580--583",
booktitle = "Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Automated human age estimation at death via bone microstructures

AU - Khan, Ijaz

AU - Jamil, Muhammad Mahadi Abdul

AU - Ibrahim, Tengku Nadzlin Tengku

AU - Mohd. Nor, Faridah

PY - 2017/4/5

Y1 - 2017/4/5

N2 - This paper present a proposed method for automatic human age at death estimation using image processing and pattern recognition techniques. The bone samples are taken from ulna, radius, humerus, femur, tibia and fibula of Malaysian population. Ten different bone microstructures are selected for analysis in order to create regression equation for age estimation. Selected microstructure can be extracted using image preprocessing and texture extraction algorithms. Different classification methods are proposed for automatic human age estimation in Malaysian population. This paper provide significant implications in the computation of fragmentary skeletal remains and forensic population samples for age estimation purpose.

AB - This paper present a proposed method for automatic human age at death estimation using image processing and pattern recognition techniques. The bone samples are taken from ulna, radius, humerus, femur, tibia and fibula of Malaysian population. Ten different bone microstructures are selected for analysis in order to create regression equation for age estimation. Selected microstructure can be extracted using image preprocessing and texture extraction algorithms. Different classification methods are proposed for automatic human age estimation in Malaysian population. This paper provide significant implications in the computation of fragmentary skeletal remains and forensic population samples for age estimation purpose.

KW - age at death estimation

KW - bone microstructures

KW - histomorphometry

KW - image processing

UR - http://www.scopus.com/inward/record.url?scp=85019004335&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019004335&partnerID=8YFLogxK

U2 - 10.1109/ICCSCE.2016.7893642

DO - 10.1109/ICCSCE.2016.7893642

M3 - Conference contribution

SP - 580

EP - 583

BT - Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -