We have proposed a personal identification system based on the front view face of isodensity maps, and the effectiveness of this method has been confirmed. For practical application however, a robust personal identification system adapted for the faces taken with various angles must be developed. In the proposed method, the 25 facial images which are taken with different angles are registered in the database as reference images. The similarity of an input image is first examined between all registered images and the three facial images, which are similar to the input image, are then extracted as the candidate facial images. The isodensity maps, which is expected to have the maximum similarity to the input image, is created by the interpolation between two candidate images and the input facial image is judged identical or not with the interpolated images. Computer simulation using 40 people shows 98.4% of correct discrimination accuracy. From the experimental results, the prospects of using this method are very encouraging.