Numerical survey of the different shapes of human chin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Experimental results are reported for the numerical quantities of the different shapes of human chin where, to the best of the author's knowledge, this approach has never been applied. The results are based on 3143 pictures of chins taken from the Internet of which 1328 were of women and 1815 of men. The author has succeeded to classify all the chins into 3 shapes: the cleft chin for men only, 2.23% of the total; the double chin, 15.69% = 14.0% + 1.69%; and the normal chin, 82.09% = 41.52% + 40.57%, where the first number is for men and the second for women.

Original languageEnglish
Pages (from-to)1657-1659
Number of pages3
JournalJournal of Craniofacial Surgery
Issue number5
StatePublished - 1 Sep 2013


  • Human chin

ASJC Scopus subject areas

  • Surgery
  • Otorhinolaryngology


Dive into the research topics of 'Numerical survey of the different shapes of human chin'. Together they form a unique fingerprint.

Cite this