Biometric recognition methods for human identification have received researchers' attention. Seeing that the prominent characteristics of skull biometrics are not affected by facial expression and illumination, we present a new approach compounded of several features. Firstly, comparing the crania included angle; secondly, sampling the edge as the skull feature and analyzing the skull feature in multi-resolution; lastly, calculating the crania cavity area and regularizing the recognition rules. This method supports human identification in cases not only ante mortem but also postmortem.