Using the Artificial Neural Networks for Identification Unknown Person
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 16, Issue 4
Abstract
This article contains the information about the use of the original software Dermatoglyphics For Prediction (DFP) to identify the total phenotypic traits of a person (ethno-territorial belonging, gender, antroposcopic and anthropometric parameters based on the dermatoglyphics parameters. The object of the study were anthropometric, antroposcopic and dermatoglific parameters obtained through the description and measurement of persons male and female, aged 18-60 years who belonged to Boiko (85), Lemko (74) and Hutsul (126) ethnic groups, and 90 to the control group. Prints of comb picture of the toes obtained by scanning the scanner Futronic's FS80 USB2.0 Fingerprint Scanner using the program ftrScanApiEx.exe. with following transferring of data to the personal computer. For statistical processing of the obtained data we use STATISTICA 12 from the company StatSoft. Construction of the neural networks was carried out using the Neural Networks. Also as a result of realizing work we received the core functionality of the program and is designed the GUI (Graphical User Interface) to alleviate data entrying and the possibility of using designed by us complex by other researchers. The work resulted in the obtained data which allowing with 89-93% probability of to predict the total phenotypic features of person based on the dermatoglyphics parameters of fingers.
Authors and Affiliations
Kozan N. M. , Kotsyubynska Yu. Z. , Zelenchuk G. M.
Keywords
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- DOI 10.9790/0853-160403107113.
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