Ching-Liang Su

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This study uses object-extracting technique to extract – thumb, index, middle, ring, and small fingers from hands. The algorithm developed in this study can find precise locations of fingertips and finger-to-finger-valleys. The extracted fingers contain many useful geometry features. One can use these features to conduct the person identification. Geometry(More)
This study uses the r-theta transformation technique to map a fingerprint image to the straight-line signals. Subsequently, the " vector magnitude invariant transform " technique is applied to them to generate an invariant magnitude for person identification. This technique can solve the image rotation problem. Various vertical magnitude strips are(More)