Hand Contour Classification Using Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916038" target="_blank" >RIV/00216275:25530/20:39916038 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5755/j01.itc.49.1.24140" target="_blank" >https://doi.org/10.5755/j01.itc.49.1.24140</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5755/j01.itc.49.1.24140" target="_blank" >10.5755/j01.itc.49.1.24140</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hand Contour Classification Using Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover

Popis výsledku v původním jazyce

Biometrical identification of persons using the contour of a human hand belongs to a very interesting and not yet totally explored areas, and its accuracy and effectiveness depends, to some extent, on the technical possibilities in scanning of persons. The presented paper solves the problem with use of a combination of various methods. A hand contour, topological description of the hand, evolutionary algorithm, and linear regression algorithm to estimate correct knuckles positions is used. For comparison of geometrical data, the Iterative Closest Point (ICP) algorithm is used in its genuine shape. Just the modern evolutionary optimizers enabling to change from ground the view how to solve similar problems but at the expense of higher algorithm development demands. However, it enables to cut down computational demands of ICP algorithm markedly. Experimental verification of proposed methods was performed with use of two different databases THID and GPDS with persons of different gender and age (c. 20-65 years) with total number of persons in individual databases 104 and 94. Experimental results proved very successfully the suitability of use the combination of the methods ICP and evolutionary optimizer called EPSDE for solving the given task with final algorithmic complexity O(N) and successful rate at classification given by coefficients THID:EER=0.38% and GPDS:EER=0.35% on real images.

Název v anglickém jazyce

Hand Contour Classification Using Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover

Popis výsledku anglicky

Biometrical identification of persons using the contour of a human hand belongs to a very interesting and not yet totally explored areas, and its accuracy and effectiveness depends, to some extent, on the technical possibilities in scanning of persons. The presented paper solves the problem with use of a combination of various methods. A hand contour, topological description of the hand, evolutionary algorithm, and linear regression algorithm to estimate correct knuckles positions is used. For comparison of geometrical data, the Iterative Closest Point (ICP) algorithm is used in its genuine shape. Just the modern evolutionary optimizers enabling to change from ground the view how to solve similar problems but at the expense of higher algorithm development demands. However, it enables to cut down computational demands of ICP algorithm markedly. Experimental verification of proposed methods was performed with use of two different databases THID and GPDS with persons of different gender and age (c. 20-65 years) with total number of persons in individual databases 104 and 94. Experimental results proved very successfully the suitability of use the combination of the methods ICP and evolutionary optimizer called EPSDE for solving the given task with final algorithmic complexity O(N) and successful rate at classification given by coefficients THID:EER=0.38% and GPDS:EER=0.35% on real images.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Information Technology and Control

ISSN

1392-124X

e-ISSN

—

Svazek periodika

49

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

24

Strana od-do

55-79

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85085868600