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  1. 1
    Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network

    Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

    Published 2014
    “…Plant recognition system is a system that recognizes the species of plants automatically. …”
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  2. 2
    Parallelizing Algorithm For Object Recognition Based On Edge Detection On Sunfire Cluster.

    Parallelizing Algorithm For Object Recognition Based On Edge Detection On Sunfire Cluster. by Osman, Mohd Azam, Sanudin, Maziani, Ibrahim, Muhammad Ismail

    Published 2007
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  3. 3
    Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition

    Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition by Abdul Rahman, Prof. Dr. Mohd Nordin

    Published 2018
    “…The availability of high performance multi-cores architecture results the complex recognition system to become popular in parallel computing area. …”
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  4. 4
    Parallel simulation of character recognition problems using NEUCOMP2

    Parallel simulation of character recognition problems using NEUCOMP2 by Evans, David J., Sulaiman, Md. Nasir

    Published 1996
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  5. 5
    A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering

    A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering by Li-Min Zhang, Giap Weng Ng, Yu-Beng Leau, Hao Yan

    Published 2023
    “…Finally, decision fusion was applied to the parallel output results to obtain an overall recognition result. …”
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  6. 6
    A parallel-model speech emotion recognition network based on feature clustering

    A parallel-model speech emotion recognition network based on feature clustering by Li-Min Zhang, Giap Weng Ng, Yu-Beng Leau, Hao Yan

    Published 2023
    “…Finally, decision fusion was applied to the parallel output results to obtain an overall recognition result. …”
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  7. 7
    Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition

    Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition by Ahmad Fakhri, Ab. Nasir, Ahmad Shahrizan, Abdul Ghani, M. Nordin, A. Rahman

    Published 2018
    “…The availability of high performance multi-cores architecture results the complex recognition system to become popular in parallel computing area. …”
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  8. 8
    Face recognition using artificial neural networks in parallel architecture

    Face recognition using artificial neural networks in parallel architecture by Omarov B., Suliman A., Kushibar K.

    Published 2023
    “…These systems require fast real time detection and recognition with high recognition rate. …”
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  9. 9
    Enhancement of parallel thinning algorithm for handwritten characters using neural network

    Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

    Published 2005
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  10. 10
    The feature parallelism model of visual recognition

    The feature parallelism model of visual recognition by Hassan, Marwa Yousif, Shuriye, Abdi Omar, Hassan Abdalla Hashim, Aisha, Salami, Momoh Jimoh Eyiomika, Khalifa, Othman Omran

    Published 2017
    “…In this work, the Feature Parallelism Model of visual recognition, which addresses the parallel nature of the human brain compared to the hierarchal (serial) brain model, was studied. …”
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  11. 11
    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…In this thesis, context-based word recognition learning system was developed. 6 words that need context-based recognition function for the words to be recognized were chosen. …”
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  12. 12
    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…Furthermore, only two patterns were used.In this thesis, context-based word recognition learning system was developed. 6 words that need context-based recognition function for the words to be recognized were chosen. …”
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  13. 13
    Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink: article / Siti Nor Safinaz Ozaimidi

    Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink: article / Siti Nor Safinaz Ozaimidi by Ozaimidi, Siti Nor Safinaz

    Published 2012
    “…Gaussian Filter is used to smooth the image gradient of barcodes which is consist of sequence of parallel, light and dark stripes printed. In barcode recognition, the symbols were up sampled and compared with codebook to determine the corresponding code. …”
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  14. 14
    Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink / Siti Nor Safinaz Ozaimidi

    Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink / Siti Nor Safinaz Ozaimidi by Ozaimidi, Siti Nor Safinaz

    Published 2012
    “…Gaussian Filter is used to smooth the image gradient of barcodes which is consist of sequence of parallel, light and dark stripes printed. In barcode recognition, the symbols were up sampled and compared with codebook to determine the corresponding code. …”
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  15. 15
    VLSI Design of a neurohardware processor implementing the Kohonen Neural Network algorithm

    VLSI Design of a neurohardware processor implementing the Kohonen Neural Network algorithm by Rajah, Avinash

    Published 2005
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  16. 16
    FPGA-enabled binarised convolutional neural networks toward real-time embedded object recognition system

    FPGA-enabled binarised convolutional neural networks toward real-time embedded object recognition system by Shuto, Daisuke, Abbas, Z., Sulaiman, N., Tamukoh, H.

    Published 2017
    “…To overcome these difficulties, we propose an embedded object recognition system implemented with a binarised CNN and an FPGA. …”
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  17. 17
    A new approach in solving illumination and facial expression problems for face recognition

    A new approach in solving illumination and facial expression problems for face recognition by Yee, Wan Wong, Kah, Phooi Seng, Li, Minn Ang

    Published 2009
    “…In this paper, a novel dual optimal multiband features (DOMF) method is presented to increase the robustness of face recognition system to illumination and facial expression variations.The wavelet packet transform first decomposes image into low-, mid- and high-frequency subbands and the multiband feature fusion technique is incorporated to select the subbands that are invariant to illumination and expression variation separately.These subbands form the optimal feature sets.Parallel radial basis function neural networks are employed to classify these feature sets.The scores generated by the neural networks are combined by an adaptive fusion mechanism where the level of illumination variations of the testing image is estimated and the weights are assigned to the scores accordingly.The experimental results show that DOMF outperforms other algorithms and also achieves promising performance on illumination and facial expression variation conditions.…”
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  18. 18
    Real-time Rotation Invariant Hand Tracking Using 3D Data

    Real-time Rotation Invariant Hand Tracking Using 3D Data by Rosdiyana, Samad, M. Zabri, Abu Bakar, Pebrianti, Dwi, Nicolaas Lim, Yong Aan

    Published 2014
    “…Hand tracking is a common task in a gesture recognition system. Many techniques have been introduced to make successful hand tracking. …”
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  19. 19
    A novel neuroscience-inspired architecture: for computer vision applications

    A novel neuroscience-inspired architecture: for computer vision applications by Hassan, Marwa Yousif, Khalifa, Othman Omran, Abu Talib, Azhar, Olanrewaju, Rashidah Funke, Hassan Abdalla Hashim, Aisha

    Published 2016
    “…The new model addresses the parallel nature of the human brain compared to the hierarchal (serial) brain model that is followed by current deep learning systems. …”
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  20. 20
    Accelerating FPGA-surf feature detection module by memory access reduction

    Accelerating FPGA-surf feature detection module by memory access reduction by Mohd. Yamani Idna, Idris, Nor Bakiah, Abd. Warif, Hamzah, Arof, Noorzaily, Mohamed Noor, Ainuddin Wahid, Abdul Wahab, Zaidi, Razak

    Published 2019
    “…Feature detection is an important concept in the area of image processing to compute image abstractions of image information, which is used for image recognition and many other applications. One of the popular algorithm used is called the Speeded-Up Robust Features (SURF), which realized the scale space pyramid to detect the features. …”
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