Local Binary Pattern Based Features for Sign Language Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898225" target="_blank" >RIV/49777513:23520/11:43898225 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1134/S1054661811020416" target="_blank" >http://dx.doi.org/10.1134/S1054661811020416</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S1054661811020416" target="_blank" >10.1134/S1054661811020416</a>

Result language

angličtina

Original language name

Local Binary Pattern Based Features for Sign Language Recognition

Original language description

In this paper we focus on appearance features describing the manual component of Sign Language particularly the Local Binary Patterns. We compare the performance of these features with geometric moments describing the trajectory and shape of hands. Sincethe non-manual component is also very important for sign recognition we localize facial landmarks via Active Shape Model combined with Landmark detector that increases the robustness of model fitting. We test the recognition performance of individual features and their combinations on a database consisting of 11 signers and 23 signs with several repetitions. Local Binary Patterns outperform the geometric moments. When the features are combined we achieve a recognition rate up to 99.75% for signer dependent tests and 57.54% for signer independent tests.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/ME08106" target="_blank" >ME08106: DIMAS-CZ Development of integral multimodal assistive system</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

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

Name of the periodical

Pattern Recognition and Image Analysis

ISSN

1054-6618

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

3

Country of publishing house

RU - RUSSIAN FEDERATION

Number of pages

4

Pages from-to

398-401

UT code for WoS article

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EID of the result in the Scopus database

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