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International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
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ISSN: 2319-7064



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Research Paper | Pattern Recognition | Nigeria | Volume 9 Issue 2, February 2020

Personality Identification System based on Human Foot Anatomy

Aranuwa Felix Ola

The research work presents a personality identification system for the identification of human behavior/personality using the anatomical structure of human foot. The human foot basically belongs to the physiological constituent of biometric trait with unique characteristics suitable to identify human behavior, genealogy and personality. Notable application areas of the trait include forensic investigation, affection determinant, security checks at religious places, airports and more uniquely, its application is very useful in the maternity wards of hospitals for identification of infants to prevent baby swap. Key identification attributes of human foot are the geometric patterns and the minutiae features. For the purpose of this work, the geometric pattern is considered, specifically the toe shape and length of human foot was used. Foot images from 65 adults were captured using a digital image scanner. The data captured were labelled with their corresponding feature descriptors. Automatic identification algorithm based on classification rule learning was deployed to match the foot feature descriptors with their personality/behavior template in the knowledge base. The results from the system implementation and percentage behavior match showed that the system is quite suitable for identifying personality/behavior of an individual with performance accuracy of 89 %.

Keywords: Personality behavior, foot anatomy, biometric, knowledge base, toe shape

Edition: Volume 9 Issue 2, February 2020

Pages: 490 - 496

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How to Cite this Article?

Aranuwa Felix Ola, "Personality Identification System based on Human Foot Anatomy", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20201838, Volume 9 Issue 2, February 2020, 490 - 496



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