Purahong, Boonchana

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Purahong, Boonchana
Alternative Name
Purahong, B.
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boonchana.pu@kmitl.ac.th

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    Item type:Publication,
    Hybrid facial features with application in person identification
    (2020-08-14)
    Purahong, Boonchana
    ;
    Chutchavong, Vanvisa
    ;
    Aoyama, Hisayuki
    ;
    Pintavirooj, Chuchart
    This paper presents the hybrid facial feature with identification and verification based on facial images. A query facial image had been taken under different conditions of the facial image of the same person (as the query). The query facial image database was constructed. We have used the technique of three-dimensional (3D) Dlib facial landmarks using a direct linear transform technique. A set of absolute affine invariance had been constructed from a series of the 3D landmark quadruplets, which make the facial identification robust to affine geometric transformation. These 3D facial features serve as a coarse feature depending on each individual facial structure. The construct of the 2D detail features represents the edge facial image confined between the 2D Dlib landmarks. The similarity of the 2D feature is achieved by aligning the 2D query edge image against that of the reference edge image. The geometric transformation matrix is estimated from the 2D Dlib landmarks, where correspondence is well established. An identification/verification cost function using a combination of local 2D facial features and global 3D facial features is utilized to verify and identify a query facial image against a candidate facial image(s). The performance of the algorithm yielding an area of 99.97% perfect classification is represented as a value under the receiver operating characteristic (ROC) curve.
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    Personal identification using a delaunay triangle and optic disc retinal vascular pattern
    (2020-01-01)
    Kanjanasurat, Isoon
    ;
    Purahong, Boonchana
    ;
    Aoyama, Hisayuki
    ;
    Benjangkaprasert, Chawalit
    ;
    Pintavirooj, Chuchart
    Retinal vascular patterns are unique and individual. They provide highly secure and correct identity authentication. In this study, we exploit an image alignment approach based on a geometric invariant, which is the area spanned by feature-point triplets for personal identification. First, we located the optic disc by using a projection of the vascular structure in vascular extraction and extracted feature points that are bifurca- tions of a retinal blood vessel in the vicinity of the optic disc as the landmarks. Delaunay triangulation is then applied to the extracted feature points. The absolute invariant is then derived by taking the ratio of successive triangular area patches. The alignment is achieved by establishing correspondences between feature points after a conformal sort- ing step based on a derived set of absolute affine invariants. The affine transformation parameters can then be calculated by the corresponding vertices of the most robust neigh- bouring triangle of both inquiry and reference images. The optic disc localization results successfully located 95.95% in six widely used retinal image databases. The algorithm of vascular extraction, applied on the DRIVE database, provided an average accuracy of ap- proximately 94.1%. The best accuracy and sensitivity for neighbouring triangle matching obtained were 99.90% and 87.66%, respectively.
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    Portable ECG real time signal monitoring device
    (2016-01-01)
    Purahong, Boonchana
    ;
    Tongkrairat, Somsin
    ;
    Nomura, Hideyuki
    ;
    Kanamori, Chisato
    ;
    Aoyama, Hisayuki
    This paper introduces about the application of Embedded system for analyzing heart rate signal in ECG (Electrocardiography) format using Microcontroller. Microcontroller must process signal in DSP method in this case the heart rate signal must be processed in real- Time. Our system can analyze heart rate to find the frequency of heart beat and show ECG signal and heart rate on display of Microcontroller board. To obtaining heart rate signal we use electrode placed on body in lead 2 orientations. We decide to make our system portable and can run on battery all over a day for recording signal to analyze during a day.