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Yong-Liang Zhang, Gang Xiao, Yan-Miao Li, Hong-Tao Wu, Ya-Ping Huang, “Slap fingerprint segmentation for live-scan devices and ten-print cards,” 2010 International Conference on Pattern Recognition, pp. 1180-1183.

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Article

Fingerprint Patterns and the Analysis of Gender Differences in the Patterns Based on the U Test

1Department of Engineering Technology, Mississippi Valley State University, Itta Bena, USA

2Department of Nursing, University of Phoenix, Tempe, USA


International Transaction of Electrical and Computer Engineers System. 2014, Vol. 2 No. 3, 88-92
DOI: 10.12691/iteces-2-3-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Lidong Wang, Cheryl Ann Alexander. Fingerprint Patterns and the Analysis of Gender Differences in the Patterns Based on the U Test. International Transaction of Electrical and Computer Engineers System. 2014; 2(3):88-92. doi: 10.12691/iteces-2-3-2.

Correspondence to: Lidong  Wang, Department of Engineering Technology, Mississippi Valley State University, Itta Bena, USA. Email: lwang22@students.tntech.edu

Abstract

The testing and frequency distribution analysis of African American fingerprint patterns (loop, whorl, and arch) was conducted. It was shown that loops are the most common, whorls are the second most common, and arches are the least common with a very small percentage (4.33%). Most loops are ulnar loops while only 4.47% loops are radial loops. Of the total arches, 61.54% arches are plain arches and 38.46% arches are tented arches. A comparative study of gender difference in African American fingerprint patterns was conducted using a non-parametric method based on the U test. The U test results show that there is no significant gender difference in fingerprint patterns between African American males and females at the 0.05 level of significance.

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