Dorsal hand recognition through adaptive YCbCr imaging technique

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50005014" target="_blank" >RIV/62690094:18450/16:50005014 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45246-3_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_25" target="_blank" >10.1007/978-3-319-45246-3_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dorsal hand recognition through adaptive YCbCr imaging technique

Popis výsledku v původním jazyce

Dorsal hand recognition is a trending topic in biometrics and human computer interactive systems. The characteristic and unique shape of the dorsal side of users' hands could be identified and discriminated for continuous authentication or could be tracked for second security option as a keyboard passwords. Therefore we propose a novel recognition system that deals with users' hands on the keyboard using adaptive YCbCr color space. The images are extracted from a video recorded by a camera mounted on the monitor and the Cb and the Cr color intervals of the dorsal hands are identified and stored. In contrast with the common algorithms that deal with the static interval, we propose an adaptive system which initially identifies the Cb and Cr values of the users' hands and subsequently recognize the dorsal hands throughout the frames of the video.

Název v anglickém jazyce

Dorsal hand recognition through adaptive YCbCr imaging technique

Popis výsledku anglicky

Dorsal hand recognition is a trending topic in biometrics and human computer interactive systems. The characteristic and unique shape of the dorsal side of users' hands could be identified and discriminated for continuous authentication or could be tracked for second security option as a keyboard passwords. Therefore we propose a novel recognition system that deals with users' hands on the keyboard using adaptive YCbCr color space. The images are extracted from a video recorded by a camera mounted on the monitor and the Cb and the Cr color intervals of the dorsal hands are identified and stored. In contrast with the common algorithms that deal with the static interval, we propose an adaptive system which initially identifies the Cb and Cr values of the users' hands and subsequently recognize the dorsal hands throughout the frames of the video.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Computational collective intelligence (ICCCI 2016)

ISSN

0302-9743

e-ISSN

—

Svazek periodika

9876

Číslo periodika v rámci svazku

2016

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

10

Strana od-do

262-270

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84989852382