Now showing 1 - 4 of 4
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    Item type:Publication,
    Fingerprint alignment based on local feature combined with affine geometric invariant
    (2010-12-01) ;
    Cohen, Fernand S.
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    Iampa, Woranut
    In this paper we introduce a novel method of fingerprint alignment that uses the intrinsic geometric properties of minutiae-based triangles combined with the geometric invariant. The minutiae points are extracted from the fingerprint image and a Delaunay (DL) triangulation is constructed from these minutiae points resulting in a series of triangles. Corresponding minutiae points are established using local affine invariants constructed from the local minutia-based triangles. Triangles that are distorted by noise or have no counter part on the query are discarded. We rely only on "strong" matches that are reliable and present, for example, where the error metric between the local absolute invariants is below a set threshold. The correspondences of such matches are then used to estimate transformation parameters. The performance of our method is represented by computing the distance map error between a template and a query fingerprint after undoing the transformation, computed from the ridge structures of the two fingerprints. In conclusion, the proposed method can be used to find the corresponding minutiae and align any fingerprints considered into affine transformation, in the presence of noise including the partial occlusion.
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    Item type:Publication,
    White blood cell segmentation by distance mapping active contour
    (2008-12-01)
    Sanpanich, Arthorn
    ;
    Iampa, Woranut
    ;
    ;
    Tosranon, Prasong
    White blood cell segmentations are an important research issue in Hematology and related study field. Our research proposes a segmentation of nucleus and cytoplasm of peripheral white blood cell from color image slides. The segmentation is started by using a dilated perimeter of nucleus convex hull which propagated into a surrounding region in order to setup a color reference table of cytoplasm. Primary cytoplasm region was then estimated roughly. Distance mapping was applied to this primary area and used to create a gradient vector flow. The active contouring technique was then implemented according to the vector field and finally segmented the WBC boundary. The obtained segmentation outputs show that active contour which guided by the distance mapping from a surrounding area is able to extract nucleus and cytoplasm region efficiently. © 2008 IEEE.
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    Item type:Publication,
    Multi-module of X-ray array detectors
    (2008-12-01)
    Iampa, Woranut
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    Jantaco, Chousak
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    ;
    Sangworasil, Manas
    This paper presents a preliminary study of multi- modules of x-ray array detectors coated with x-ray phosphor. The multi-modules of array detectors were designed and constructed to improve the field of view of x-ray array detectors and further apply to a mini-CT scanner. Each module is comprised of 64 phototransistors connected to detector front-end, data acquisition system, and control unit, respectively. The array of 128 x-ray detectors was performed the offset and gain calibration with x-ray system at 70 kVp, prior to image acquisition. The resolution of x-ray detectors determined by a resolution test phantom is 5 line pairs per inch. The x-ray array detectors were applied to detect the beam intensity transmitting through the objects. Each acquisitioning line was stepped with 1 mm increment and corrected with the additive and scaling factors derived from the offset and gain calibration, respectively. Beam intensity profiles of the 30 acquisitioning lines were processed to obtain the intensity image of the objects. The results showed the intensity image with an incremental scan field of view. In conclusion, the x-ray array detectors of 128 phototransistors are able to acquire data with improvement in the field of view and can be used in the further study of mini-CT scanner. © 2008 IEEE.
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    Item type:Publication,
    Fingerprint verification and identification based on local geometric invariants constructed from minutiae points and augmented with global directional filterbank features
    (2014-01-01) ;
    Cohen, Fernand S.
    ;
    Iampa, Woranut
    This paper addresses the problems of fingerprint identification and verification when a query fingerprint is taken under conditions that differ from those under which the fingerprint of the same person stored in a database was constructed. This occurs when using a different fingerprint scanner with a different pressure, resulting in a fingerprint impression that is smeared and distorted in accordance with a geometric transformation (e.g., affine or even non-linear). Minutiae points on a query fingerprint are matched and aligned to those on one of the fingerprints in the database, using a set of absolute invariants constructed from the shape and/or size of minutiae triangles depending on the assumed map. Once the best candidate match is declared and the corresponding minutiae points are flagged, the query fingerprint image is warped against the candidate fingerprint image in accordance with the estimated warping map. An identification/verification cost function using a combination of distance map and global directional filterbank (DFB) features is then utilized to verify and identify a query fingerprint against candidate fingerprint(s). Performance of the algorithm yields an area of 0.99967 (perfect classification is a value of 1) under the receiver operating characteristic (ROC) curve based on a database consisting of a total of 1680 fingerprint images captured from 240 fingers. The average probability of error was found to be 0.713%. Our algorithm also yields the smallest false non-match rate (FNMR) for a comparable false match rate (FMR) when compared to the well-known technique of DFB features and triangulation-based matching integrated with modeling non-linear deformation. This work represents an advance in resolving the fingerprint identification problem beyond the state-of-the-art approaches in both performance and robustness. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.