Gender Classification Based on Geometry Features of Palm Image
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel gender classification method based on geometry features of palm image which is simple, fast, and easy to handle.
This gender classification method based on geometry features comprises two main attributes.
The first one is feature extraction by image processing.
The other one is classification system with polynomial smooth support vector machine (PSSVM).
A total of 180 palm imageswere collected from 30 persons to verify the validity of the proposed gender classification approach and the results are satisfactory with classification rate over 85%.
Experimental results demonstrate that our proposed approach is feasible and effective in gender recognition.
American Psychological Association (APA)
Wu, Ming& Yuan, Y.-B.. 2014. Gender Classification Based on Geometry Features of Palm Image. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050825
Modern Language Association (MLA)
Wu, Ming& Yuan, Y.-B.. Gender Classification Based on Geometry Features of Palm Image. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050825
American Medical Association (AMA)
Wu, Ming& Yuan, Y.-B.. Gender Classification Based on Geometry Features of Palm Image. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050825
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050825