Search Results - (( developing e recognition algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1

    Weed recognition based on erosion and dilation segmentation algorithm by S., Sulaiman, M.H., Siddiqi, I., Ahmad

    Published 2009
    “…Many attempts have been made to develop efficient algorithms for recognition and classification. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2
  3. 3

    The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim by Hamzah, Irni Hamiza, Ibrahim, Mohammad Nizam, Mohd Kasim, Linda

    Published 2006
    “…The capability of powerful personal computers and affordable and high resolution sensors (i.e.: CCD cameras, microphones and scanners) have fostered the development of pattern recognition algorithms in new application domains (i.e.: fuzzy logic, neural network and genetic algorithm). …”
    Get full text
    Get full text
    Research Reports
  4. 4
  5. 5

    Face recognition and identification system (FaceRec) / Khew Jye Huei by Khew , Jye Huei

    Published 2004
    “…Several different algorithms have been proposed for computer recognition of human faces. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…Performance of the proposed algorithm was evaluated on the developed number plates’ image database captured by mobile phone’s camera, i.e. 30 images. …”
    Get full text
    Get full text
    Get full text
    Book
  7. 7
  8. 8

    Road Sign Detection and Recognition System for Real-Time Embedded Applications by Md Sallah, Siti Sarah, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2011
    “…In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    Text signage recognition in android mobile devices by Foong, O.-M., Sulaiman, S., Ling, K.K.

    Published 2013
    “…In contrast to previous TSR research which was deployed in standalone personal computer system using Otsu's algorithm, we have developed an affordable Text Signage Recognition in Android Mobile Devices using Tesseract OCR engine. …”
    Get full text
    Get full text
    Article
  16. 16

    A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods by Ng, Ing Kye

    Published 2014
    “…"Motion gesture is one of the gesture recognition algorithms which provide touchless interaction within a system. …”
    Get full text
    Get full text
    Academic Exercise
  17. 17

    A Proposed Biologically Inspired Model for Object Recognition by Hamada , R. H. Al-Absi, Azween, Abdullah

    Published 2009
    “…Two main approaches have been utilized to develop object recognition solutions i.e. machine and biological vision. …”
    Get full text
    Get full text
    Book Section
  18. 18
  19. 19

    Adapting robot kinematics for human-arm motion recognition by Chan, C.S., Liu, H., Brown, D.

    Published 2007
    “…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to the prior art methods, this research develops a framework for human-arm motion recognition where qualitative normalised templates (QNTs) is proposed to replace the conventional approaches. …”
    Get full text
    Get full text
    Article
  20. 20

    Fuzzy qualitative human motion analysis by Chan, C.S., Liu, H.H.

    Published 2009
    “…This paper proposes a fuzzy qualitative approach to vision-based human motion analysis with an emphasis on human motion recognition. It achieves feasible computational cost for human motion recognition by combining fuzzy qualitative robot kinematics with human motion tracking and recognition algorithms. …”
    Get full text
    Get full text
    Article