Shahrul Nizam Yaakob
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Preferred name
Shahrul Nizam Yaakob
Official Name
Shahrul Nizam, Yaakob
Alternative Name
Yaakob, Shahrul N.
Yaakob, Shahrul Nizam
Yaakob, S. N.
Nizam, Shahrul
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Scopus Author ID
55394447500
Researcher ID
EFJ-2751-2022

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  • Publication
    On analysis of invariant characteristic for moment invariant techniques
    ( 2006)
    Shahrul Nizam Yaakob
    ;
    Puteh Saad
    ;
    Mohd Faizal Jamlos
    In this paper a set of equation known as Invariant Error Computation (IEC) is introduced that is used to examine directly invariant performance properties of moment invariant techniques. The technique consists of a set of equations known as Total Percentage Min Absolute Error (TPMAE), Percentage Min Absolute Error 1 (PMAE1), Percentage Min Absolute Error 2 (PMAE2) and Percentage Absolute Error (PAE). These equations are utilized to measure the similarity between different feature vectors produced by the moment techniques studied. In order to evaluate the effectiveness of the IEC, we examine the invariant properties of three moment techniques; namely; Zernike Moment Invariat (ZMI), Legendre Moment Invariant (LMI), Krawtchouk Moment Invariant (KMI). It is found that Krawtchouk Moment Invariant (KMI) generated the lowest error value for the IEC when compared to ZMI and LMI. For instance PMAE1 for KMI is the lowest with 0.1%-0.5% of error while LMI 8%-25% and ZMI 8%-38% consecutively. Similarity with PMAE2 results, KMI error is between 0.001%-0.9% while for LMI and ZMI is 0.5%-40% and 0.3%-44%. We demonstrate the effectiveness of IEC in examining the invariant properties of the moment techniques.
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