There is an increasing demand for biometric security systems in several fields. This study presents a highly accurate facial recognition method that uses high-speed transformation and facial morphing using region-limited log-polar transformation based on a center point calculated from the coordinates of both eyes and corners of the mouth. Log-polar transformation is limited to the region, so that the region including the feature can be suppressed to the minimum range, thereby facilitating high-speed transformation. Additionally, after facial morphing, the shapes of the eyes and mouth are altered based on the outline of the face, enabling high-precision facial recognition. The efficacy of the proposed method is verified experimentally. Therefore, we can confirm that 91.72% of images using the color FERET database and 96% of images using the FEI face database can be recognized using our method.

中文翻译：

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使用最小特征带的对数极性面部识别

多个领域对生物识别安全系统的需求不断增加。本研究提出了一种高度准确的面部识别方法，该方法使用基于从双眼和嘴角坐标计算的中心点的区域限制对数极坐标变换使用高速变换和面部变形。对数极坐标变换仅限于该区域，从而可以将包含特征的区域抑制到最小范围，从而有利于高速变换。此外，面部变形后，眼睛和嘴巴的形状会根据面部轮廓发生变化，从而实现高精度的面部识别。通过实验验证了所提出方法的有效性。因此，我们可以确认 91。