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Mobil phone camera Recognition Sign Language using a segmented multidecision filter adapted to the Parallel virtual machine (PVM)

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.1 No.2 (2008.04)바로가기
  • 페이지
    pp.101-108
  • 저자
    A Marwa Elbouz, Ayman Alfalou, Habib Hamam
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A74912

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원문정보

초록

영어
In our society based on communication, the barrier between the spoken and gestural languages remains a main problem for the deaf-mute. To make this communication possible, we propose developing an interface using mobile phone camera with a module of recognition allowing the recognition and the restitution of the sign language in the form of synthesized words. This module is based on a spectral comparison between the image to recognize and a correlation multidecision segmented filter resulting from images reference coming from a predetermined database: correlation technique. The latter has been used for a long time to recognize a target image. However an adaptation of this technique is necessary to take into account particular characteristics of gestures (for which the target image to recognize evolves in time) and to be able to send it with a high transmission rate. Thus to obtain a reliable decision, the module of recognition must carry out a very large number of correlations, which slows down the translation process. In order to reduce this processing time, we propose implementing our recognition module by using multipost technique “PVM”.
This technique is based on the distribution of calculation on various stations in parallel. This
technique enables us to distribute the required computing effort on various parallel stations
using (PVM) a Parallel Virtual Machine. It showed significant gains in computing time but
not sufficiently for a real-time translation (mobile phone communication). To further reduce
processing time, we propose adding a Comprehension Pre-selection module to the initial
recognition module. The former is based on the division of images (resulting from the gesture
target) in various zones, in order to reduce and eliminate all the improbable gestures, according to the positions of hands. Thus, we reduce the needed identification time.

목차

Abstract
 1. Introduction
 2. Correlation by adapted filter
 3. Suggested correlation module
  3.1. Simulations Results of the recognition module
  3.2. Discussion
 4. Pre-selection Module with divided zones
 5. Conclusions
 6. References

키워드

Sign Language Parallel Virtual Machine Optics Correlation.

저자

  • A Marwa Elbouz [ Laboratory L@BISEN ISEN-Brest, 20 rue cruirasse Bretagne ]
  • Ayman Alfalou [ Laboratory L@BISEN ISEN-Brest, 20 rue cruirasse Bretagne ]
  • Habib Hamam [ EMAT Laboratory, University of Moncton, 165 Massey av. ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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