مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

131
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

57
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Seminar Paper

Title

NOVEL BIDIRECTIONAL NEURAL NETWORK FOR FACE RECOGNITION

Pages

  -

Abstract

 THE RECOGNITION OF FACE IMAGES IS A COMPLICATED PROBLEM. FACE IMAGES ARE OFTEN SUFFERED FROM VARIATIONS IN BRIGHTNESS, HEAD ROTATION, FACIAL EMOTIONS AND SO ON. BESIDES, AMAZING ABILITIES OF HUMAN BRAIN IN FACE RECOGNITION IN THE PRESENCE OF THESE VARIATIONS, CONTRIBUTE TO DESIGN FACE RECOGNITION SYSTEMS BASED ON PROCEDURE OF HUMAN BRAIN. SURVEYING THE RECOGNITION AND PERCEPTUAL SYSTEM OF HUMAN, SHOWS THAT, THIS SYSTEM HAS HIERARCHICAL AND BIDIRECTIONAL STRUCTURE. FURTHERMORE, THE PERFORMANCE OF THE SYSTEM WOULD STRONGLY BE IMPROVED BY APPLYING THE INFORMATION OF UPPER LAYERS OF FACE RECOGNITION SYSTEM IN INTERPRETING AND PROCESSING THE INPUT DATA.IN THIS PAPER, NOVEL BIDIRECTIONAL ARCHITECTURE FOR FACE RECOGNITION INSPIRED BY HUMAN FACE RECOGNITION SYSTEM IS PRESENTED VIA APPLYING INVERSION IN ARTIFICIAL NEURAL NETWORKS (ANN’S). IN THIS APPROACH, STORED DATA IN THE INVERSE NETWORK IS APPLIED IN THE RECOGNITION SYSTEM ITERATIVELY AND THEN THE CORRECTNESS OF FACE RECOGNITION MODEL HAS BEEN CONSEQUENTLY IMPROVED BY 8%. THE PROPOSED MODEL IS ABLE TO PRODUCE 12 VARIOUS FACIAL EXPRESSIONS ON THE OUTPUT, FROM ONLY ONE INPUT EXPRESSION OF EACH PERSON, AFTER TRAINING WITH AUT DATABASE IMAGES.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Mazloum, Jalil, Jalali, Ali, & Amiryan, Javad. (2014). NOVEL BIDIRECTIONAL NEURAL NETWORK FOR FACE RECOGNITION. INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). SID. https://sid.ir/paper/926174/en

    Vancouver: Copy

    Mazloum Jalil, Jalali Ali, Amiryan Javad. NOVEL BIDIRECTIONAL NEURAL NETWORK FOR FACE RECOGNITION. 2014. Available from: https://sid.ir/paper/926174/en

    IEEE: Copy

    Jalil Mazloum, Ali Jalali, and Javad Amiryan, “NOVEL BIDIRECTIONAL NEURAL NETWORK FOR FACE RECOGNITION,” presented at the INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). 2014, [Online]. Available: https://sid.ir/paper/926174/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button