| 摘要 |
A part of the image inputted (S1) from a fingerprint sensor is segmented (S3), and the fundamental frequency is computed by second-order linear prediction analysis (S5). The sum (S) of the fundamental frequencies in the x and y directions is computed and used as a judgment measure of the texture degree (S7). A predetermined threshold and the measure S determined in S7 are compared, and the degree of skin texture is evaluated to one of three levels (S9 to S17). The ratio between the fundamental frequencies in the x and y directions of the object image is computed and used as an evaluation measure of the texture flow (S19). The image is rotated, and a similar evaluation measure is determined. Based on these measures, the texture flow is judged at one of two levels (S31 to S35). The results of the judgment on the texture degree and the texture flow are displayed on a display screen (S37).
|
