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Sensors 2017, 17(10), 2418; doi:10.3390/s17102418

Optical Methods in Fingerprint Imaging for Medical and Personality Applications

Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan
Authors to whom correspondence should be addressed.
Received: 30 August 2017 / Revised: 20 October 2017 / Accepted: 20 October 2017 / Published: 23 October 2017
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Over the years, analysis and induction of personality traits has been a topic for individual subjective conjecture or speculation, rather than a focus of inductive scientific analysis. This study proposes a novel framework for analysis and induction of personality traits. First, 14 personality constructs based on the “Big Five” personality factors were developed. Next, a new fingerprint image algorithm was used for classification, and the fingerprints were classified into eight types. The relationship between personality traits and fingerprint type was derived from the results of the questionnaire survey. After comparison of pre-test and post-test results, this study determined the induction ability of personality traits from fingerprint type. Experimental results showed that the left/right thumbprint type of a majority of subjects was left loop/right loop and that the personalities of individuals with this fingerprint type were moderate with no significant differences in the 14 personality constructs. View Full-Text
Keywords: personality traits; fingerprint classification; fingerprint types personality traits; fingerprint classification; fingerprint types

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, C.-N.; Wang, J.-W.; Lin, M.-H.; Chang, Y.-L.; Kuo, C.-M. Optical Methods in Fingerprint Imaging for Medical and Personality Applications. Sensors 2017, 17, 2418.

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