Abstract: The present invention provides a method and apparatus to improve the image acquisition by utilizing frontal facial image template to improve acquisition of human frontal facial images. Once image data is pre-reviewed in a display window from a human frontal facial image, the data is subjected to this biometric template matching process to allow users to aim the image capture device to features of human face such as eyes, nose, mouth, eyes, etc. This biometric template can guide users to properly position target object on image capture device, to properly position frontal facial features on image capture device, and to fast position target in the right position. Once the frontal facial images are captured, it can improve automatic image matching between two images. It provides the highest quality of the captured facial images to be prepared for face matching with strong confidence.

Abstract: An automated detection method and system improve the diagnostic procedures of radiological images containing abnormalities, such as lung cancer nodules. The detection method and system use a multi-resolution approach to enable the efficient detection of nodules of different sizes, and to further enable the use of a single nodule phantom for correlation and matching in order to detect all or most nodule sizes. The detection method and system use spherical parameters to characterize the nodules, thus enabling a more accurate detection of non-conspicuous nodules. A robust pixel threshold generation technique is applied in order to increase the sensitivity of the system. In addition, the detection method and system increase the sensitivity of true nodule detection by analyzing only the negative cases, and by recommending further re-assessment only of cases determined by the detection method and system to be positive.