Search Results - ((((canny algorithm) OR (((matching algorithm) OR (means algorithm))))) OR (learning algorithm))

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  1. 1
    Embedded car plate image recognition system

    Embedded car plate image recognition system by Moo Wui Hung

    Published 2008
    “…In order to speed up the image processing process, the system do not use complex algorithm such as Neural Network but use a simple algorithm such as template matching. …”
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    Learning Object
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  2. 2
    OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People

    OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People by Hairuman, Intan Fariza, Foong, Oi-Mean

    Published 2012
    “…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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  3. 3
    OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People

    OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People by Hairuman, Intan Fariza Bt, Foong, Oi Mean

    Published 2011
    “…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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  4. 4
    Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin

    Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin by Kharuddin, Nor Shamimi

    Published 2010
    “…This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Canny edge detection is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. …”
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    Thesis
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  5. 5
    Modified canny edge detection technique for identifying endpoints

    Modified canny edge detection technique for identifying endpoints by Kieu, STH, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

    Published 2022
    “…Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny.…”
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  6. 6
    Music Recommender System Using Machine Learning Content-Based Filtering Technique

    Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

    Published 2022
    “…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
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    Undergraduates Project Papers
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  7. 7
    Shape matching and object recognition using dissimilarity measures with Hungarian algorithm

    Shape matching and object recognition using dissimilarity measures with Hungarian algorithm by Chitra, D., Manigandan, T., Devarajan, N.

    Published 2009
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    Working Paper
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  8. 8
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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  9. 9
    Modified canny edge detection technique for joining discontinued edges

    Modified canny edge detection technique for joining discontinued edges by S. K. T. Hwa, Abdullah Bade, Mohd Hanafi Ahmad Hijazi

    Published 2021
    “…Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny.…”
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    Proceedings
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  10. 10
    On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition

    On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition by Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2018
    “…In this paper, an exponential decaying number of nodes in the hidden layers was proposed to achieve better recognition rate with reasonable training time. Of the six edge algorithms evaluated, Roberts operator and Canny edge detectors were found to produce better recognition rate. …”
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  11. 11
    Characterization of oil palm fruitlets using artificial neural network

    Characterization of oil palm fruitlets using artificial neural network by Olukayode, Ojo Adedayo

    Published 2014
    “…To further validate the generalization accuracy of the LSB_ANN, its performance was compared with that of a Multi-ANFIS network as well as those of three different ANN training algorithms: Levenberg Marquardt (LM) algorithm, Resilient Backpropagation (RP) algorithm and Gradient Descent with Adaptive learning rate (GDA). …”
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  12. 12
    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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  13. 13
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
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  14. 14
    A comparative analysis of feature detection and matching algorithms for aerial image stitching

    A comparative analysis of feature detection and matching algorithms for aerial image stitching by Jolhip, Mohd Ismail, Minoi, Jacey Lynn, Lim, Terrin

    Published 2017
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  15. 15
    Long Term Load Forecasting using Grey Wolf Optimizer - Artificial Neural Network

    Long Term Load Forecasting using Grey Wolf Optimizer - Artificial Neural Network by Yasin Z.M., Salim N.A., Ab Aziz N.F.

    Published 2023
    “…Electric power plant loads; Heuristic methods; Learning algorithms; Neural networks; Particle swarm optimization (PSO); Wind; Accurate prediction; Electrical load; Learning rates; Load forecasting; Long-term load forecasting; Mean absolute percentage error; Meta-heuristic techniques; Optimizers; Forecasting…”
    Conference Paper
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  16. 16
    Effective query structuring with ranking using named entity categories for XML retrieval

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…Finally, the system employs a query formulation via node algorithm (QRYFv) algorithm to improve the selection of structured queries that best match user query Experiments have been conducted to evaluate the performance of the proposed enrichment method, XKQSS and RAXKQSS. …”
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  17. 17
    Artificial Intelligence Matching Algorithm with UTP Final Year Project Students and Advisors Matching as Test Case

    Artificial Intelligence Matching Algorithm with UTP Final Year Project Students and Advisors Matching as Test Case by ABDULLAH, NUR LYDIA OH

    Published 2022
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  18. 18
    Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications

    Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

    Published 2016
    “…DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. …”
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  19. 19
    Development of offline handwritten signature authentication using artificial neural network

    Development of offline handwritten signature authentication using artificial neural network by Gunawan, Teddy Surya, Mahamud, Norsalha, Kartiwi, Mira

    Published 2018
    “…As part of the feature extraction, two image filters were used, i.e. Canny edge detector and averaging filter. A feedforward neural network with 1 hidden layer was trained using backpropagation algorithm. …”
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    Proceeding Paper
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  20. 20
    Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference

    Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

    Published 2021
    “…Fundamentally, a stereo matching algorithm produces a disparity map or depth map. …”
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