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Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)

Human identification plays a crucial role in forensic criminal investigation, but it can be a very complicated task. The analysis of lip print is a new tool for the purpose of identification as lip print is unique to every person. This study was conducted to differentiate gender based on lip print p...

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Main Authors: Hamzah, Noor Hazfalinda, Gabriel, Gina Francesca, Haron, Nurul Syuhada, Khairul, Osman, Md Isa, Nur Mahiza
Format: Article
Language:English
Published: All India Institute of Medical Sciences 2021
Online Access:http://psasir.upm.edu.my/id/eprint/96737/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/96737/
https://www.indianjournals.com/ijor.aspx?target=ijor:ijmtlm&volume=24&issue=1and2&article=041
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spelling my.upm.eprints.967372022-12-01T08:17:18Z http://psasir.upm.edu.my/id/eprint/96737/ Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley) Hamzah, Noor Hazfalinda Gabriel, Gina Francesca Haron, Nurul Syuhada Khairul, Osman Md Isa, Nur Mahiza Human identification plays a crucial role in forensic criminal investigation, but it can be a very complicated task. The analysis of lip print is a new tool for the purpose of identification as lip print is unique to every person. This study was conducted to differentiate gender based on lip print patterns among the Malaysian Chinese population in Klang Valley using scanning on lipstick-cellophane tape technique. 412 subjects from Malaysian Chinese (203 males and 209 females) were selected conveniently. Lip print was lifted using lipstick on cellophane tape technique, scanned and digital images were categorised according to Suzuki and Tsuchihashi's classification. Lip prints were divided into six sections: upper left, upper middle, upper right, lower left, lower middle and lower right. Adobe Photoshop 7.0 was used to analyse the lip print images. Type II was the dominant type in both genders for upper left, upper right, lower right and lower left sections, ranging from 87.2% to 94.6% for males and 70.3% to 90% for females while type IV was found to be the dominant in upper and lower middle sections for both genders, ranging from 69.5% to 70.4% in males and 67% to 70.3% for females. The results of this study may be used as a suggestion in personal identification of the Malaysian Chinese population in forensic science investigations. All India Institute of Medical Sciences 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/96737/1/ABSTRACT.pdf Hamzah, Noor Hazfalinda and Gabriel, Gina Francesca and Haron, Nurul Syuhada and Khairul, Osman and Md Isa, Nur Mahiza (2021) Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley). International Journal of Medical Toxicology and Legal Medicine, 24 (1 & 2). 229 - 233. ISSN 0972-0448; ESSN: 0974-4614 https://www.indianjournals.com/ijor.aspx?target=ijor:ijmtlm&volume=24&issue=1and2&article=041 10.5958/0974-4614.2021.00041.3
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Human identification plays a crucial role in forensic criminal investigation, but it can be a very complicated task. The analysis of lip print is a new tool for the purpose of identification as lip print is unique to every person. This study was conducted to differentiate gender based on lip print patterns among the Malaysian Chinese population in Klang Valley using scanning on lipstick-cellophane tape technique. 412 subjects from Malaysian Chinese (203 males and 209 females) were selected conveniently. Lip print was lifted using lipstick on cellophane tape technique, scanned and digital images were categorised according to Suzuki and Tsuchihashi's classification. Lip prints were divided into six sections: upper left, upper middle, upper right, lower left, lower middle and lower right. Adobe Photoshop 7.0 was used to analyse the lip print images. Type II was the dominant type in both genders for upper left, upper right, lower right and lower left sections, ranging from 87.2% to 94.6% for males and 70.3% to 90% for females while type IV was found to be the dominant in upper and lower middle sections for both genders, ranging from 69.5% to 70.4% in males and 67% to 70.3% for females. The results of this study may be used as a suggestion in personal identification of the Malaysian Chinese population in forensic science investigations.
format Article
author Hamzah, Noor Hazfalinda
Gabriel, Gina Francesca
Haron, Nurul Syuhada
Khairul, Osman
Md Isa, Nur Mahiza
spellingShingle Hamzah, Noor Hazfalinda
Gabriel, Gina Francesca
Haron, Nurul Syuhada
Khairul, Osman
Md Isa, Nur Mahiza
Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
author_facet Hamzah, Noor Hazfalinda
Gabriel, Gina Francesca
Haron, Nurul Syuhada
Khairul, Osman
Md Isa, Nur Mahiza
author_sort Hamzah, Noor Hazfalinda
title Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
title_short Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
title_full Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
title_fullStr Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
title_full_unstemmed Digital approach for gender discrimination from lip prints analysis in Malaysian chinese population (Klang Valley)
title_sort digital approach for gender discrimination from lip prints analysis in malaysian chinese population (klang valley)
publisher All India Institute of Medical Sciences
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/96737/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/96737/
https://www.indianjournals.com/ijor.aspx?target=ijor:ijmtlm&volume=24&issue=1and2&article=041
_version_ 1752147922830491648
score 13.211869

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