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  1. 1
    Multilocal feature selection using genetic algorithm for face identification

    Multilocal feature selection using genetic algorithm for face identification by Mohamad, Dzulkifli

    Published 2008
    “…This paper presents an improved offline face recognition algorithm based on a multi-local feature selection approach for grayscale images. …”
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  2. 2
    Facial features for template matching based face recognition

    Facial features for template matching based face recognition by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.

    Published 2011
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  3. 3
    Initial assessment of facial nerve paralysis based on motion analysis using optical flow method

    Initial assessment of facial nerve paralysis based on motion analysis using optical flow method by Wan Syahirah, Wan Samsudin

    Published 2015
    “…However, there is no standardized quantitative method for objective description of facial nerve function. …”
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  4. 4
    Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis

    Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis by Razalli, Husniza

    Published 2016
    “…The geometric ratios are based on combination of facial features distances and angles distribution between selected face features using minimum extracted facial features landmark points. …”
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  5. 5
    Automated face localization and facial features detection using geometric information

    Automated face localization and facial features detection using geometric information by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Karthigayan, M., Sugisaka, M., Hazry, Desa, Dr., Ibrahim, Z.

    Published 2011
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  6. 6
    An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio

    An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio by Razalli, Husniza, Rahmat, Rahmita Wirza O. K, Khalid, Fatimah, Sulaiman, Puteri Suhaiza

    Published 2017
    “…The angle that forms on human face images has been calculated based on selected facial features landmark points. The method was tested on FG-NET aging database. …”
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  7. 7
    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition

    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition by Yuri, Nur Fatin Izzati

    Published 2017
    “…After that, Kanade Lucas Tomasi algorithm is applied for tracking purpose. Based on the tracked face and the tracked facial components, the region of interest is selected. …”
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  8. 8
    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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  9. 9
    Spatial network k-Nearest neighbor: A survey and future directives

    Spatial network k-Nearest neighbor: A survey and future directives by Borhanuddin B., Solemon B.

    Published 2023
    “…Each algorithm is usually judged based on query time over few selected parameters which are; number of k, network density and network size. …”
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  10. 10
    Customer analysis with machine vision

    Customer analysis with machine vision by Tiong, Wei Jie

    Published 2023
    “…Future work will focus on improving facial recognition and proposing new methods to explore different approaches.…”
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  11. 11
    Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini

    Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini by Rozaini, Tantty Roshaida

    Published 2010
    “…In this research, technique selection is done by doing some literature review to find the best one and also studying about the algorithm of each technique has. …”
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  12. 12
    Automatic landmarking on 2.5D face range images

    Automatic landmarking on 2.5D face range images by Pui, Suk Ting

    Published 2014
    “…The primitive surfaces are derived using Mean (H) and Gaussian (K) curvatures from a down-sampled by Gaussian Pyramid approach. Otsu’s algorithm is used to place landmark on the extracted facial features and/or regions. …”
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  13. 13
    An efficient algorithm for oval shape face detection in color family photos

    An efficient algorithm for oval shape face detection in color family photos by Hanafi, Marsyita, Wan Adnan, Wan Azizun, S. Ahmad, S. M.

    Published 2013
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  14. 14
    Voiceless Bangla vowel recognition using sEMG signal

    Voiceless Bangla vowel recognition using sEMG signal by Sheikh Shanawaz, Mostafa, Mohiuddin, Ahmad, Mohd Abdur, Rashid

    Published 2016
    “…Different features are extracted and mRMR feature selection algorithm is then applied to select prominent feature subset from the large feature vector. …”
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  15. 15
    Auto raise hand in Microsoft teams (API/Extension)

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…To be more specific, it is regarding facial expression recognition based on deep learning. …”
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  16. 16
    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri

    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri by Milad , Miri

    Published 2018
    “…Face recognition system is part of facial image processing applications, which is one of the biometric methods to identify people by the features of the face. …”
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  17. 17
    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
    “…In this research, technique selection is done by doing some literature review to find the best one and also studying about the algorithm of each technique has. …”
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  18. 18
    Bridging gaps in Malaysian acne vulgaris guidelines: advisory statements on trifarotene for facial and truncal acne

    Bridging gaps in Malaysian acne vulgaris guidelines: advisory statements on trifarotene for facial and truncal acne by Mohd Affandi, Azura, Ch'ng, Peter Wee Beng, Teoh, Benji Tze Yuen, Yap, Evelyn Wen Yee, Ch'ng, Chin Chwen, Foo, Seow Hoong, How, Kang Nien, Kwan, Zhenli, Tang, Jyh Jong, Tan, Wooi Chiang, Kon, Khen, Poh, Wei Thian

    Published 2025
    “…Results: Ten advisory statements were finalized, addressing trifarotene's role in acne algorithms, patient selection, dosing strategies, combination therapy, and management of acne sequelae. …”
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  19. 19
    Face recognition using local geometrical features - PCA with Euclidean classifier

    Face recognition using local geometrical features - PCA with Euclidean classifier by Khalid, Fatimah, Tengku Sembok, Tengku Mohd, Omar, Khairuddin

    Published 2008
    “…Before doing the feature selection, we investigate automatic methods for detecting face anchor points with 412 3D-facial points of 60 individuals. …”
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  20. 20
    Face recognition-based real-time system for surveillance

    Face recognition-based real-time system for surveillance by Mahdi, F.P., Habib, M.M., Ahad, M.A.R., McKeever, S., Moslehuddin, A.S.M., Vasant, P.

    Published 2017
    “…For the first step, the system tracks and selects the faces of the detected persons. An efficient recognition algorithm is then used to recognize detected faces with a known database. …”
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