The use of HSV color model for subtle ear region extraction
Other Title(s)
استخدام النموذج اللوني HSV لاستخراج منطقة الأذن الرقيقة
Joint Authors
Tumah, Siba Iyad
Suud, Jamilah Harbi
Source
Issue
Vol. 61, Issue 5 (31 May. 2020), pp.1215-1222, 8 p.
Publisher
University of Baghdad College of Science
Publication Date
2020-05-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Identifying people by their ear has recently received import attention in the literature.
The accurate segmentation of the ear region is vital in order to make successful person identification decisions.
This paper presents an effective approach for ear region segmentation from color ear images.
Firstly, the RGB color model was converted to the HSV color model.
Secondly, thresholding was utilized to segment the ear region.
Finally, the morphological operations were applied to remove small islands and fill the gaps.
The proposed method was tested on a database which consisted of 105 ear images taken from the right sides of 105 subjects.
The experimental results of the proposed approach on a variety of ear images revealed that this approach is efficient in segmenting ear images under various environments and it gave a detection rate of 98.61% for ear segmentation.
American Psychological Association (APA)
Tumah, Siba Iyad& Suud, Jamilah Harbi. 2020. The use of HSV color model for subtle ear region extraction. Iraqi Journal of Science،Vol. 61, no. 5, pp.1215-1222.
https://search.emarefa.net/detail/BIM-970229
Modern Language Association (MLA)
Tumah, Siba Iyad& Suud, Jamilah Harbi. The use of HSV color model for subtle ear region extraction. Iraqi Journal of Science Vol. 61, no. 5 (2020), pp.1215-1222.
https://search.emarefa.net/detail/BIM-970229
American Medical Association (AMA)
Tumah, Siba Iyad& Suud, Jamilah Harbi. The use of HSV color model for subtle ear region extraction. Iraqi Journal of Science. 2020. Vol. 61, no. 5, pp.1215-1222.
https://search.emarefa.net/detail/BIM-970229
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1222
Record ID
BIM-970229