Fingerprint verification method

Claim 1

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a cross-correlation between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a similarity in directions associated with the pixels in a block area; calculating a mean of the cross-correlations between the block areas for each block of the sample and master image to determine a cross-correlation between each block of the sample and master image; comparing the cross-correlations between each block of the sample and master image to a reference cross-correlation; and verifying a fingerprint as that of the designated person based on results from the comparisons.

Claim 2

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a cross-correlation between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a similarity in directions associated with the pixels in a block area; calculating a mean of the cross-correlations between the block areas for each block of the sample and master image to determine a cross-correlation between each block of the sample and master image; comparing the cross-correlations between each block of the sample and master image to a reference cross-correlation; and verifying a fingerprint as that of the designated person based on results from the comparisons.

Claim 3

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a distance between classes between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and mater image associated with a direction which represents a difference in directions associated with the pixels in a block area; calculating a mean of the distance between classes between the block areas for each block of the sample and master data to determine a distance between classes between each block of the sample and master data; comparing the distance between classes between each block of the sample and master data to a reference distance between classes; and verifying a fingerprint as that of the designated person based on results from the comparisons.

Claim 4

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a distance between classes between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and mater image associated with a direction which represents a difference in directions associated with the pixels in a block area; calculating a mean of the distance between classes between the block areas for each block of the sample and master data to determine a distance between classes between each block of the sample and master data; comparing the distance between classes between each block of the sample and master data to a reference distance between classes; and verifying a fingerprint as that of the designated person based on results from the comparisons.

Claim 5

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a cross-correlation between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a similarity in directions associated with the pixels in a block area; calculating a mean of the cross-correlations between the block areas for each block of the sample and master image to determine a cross-correlation between each block of the sample and master image; determining a distance between classes between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a difference in directions associated with the pixels in a block area; calculating a mean of the distance between classes between the block areas for each block of the sample and master data to determine a distance between classes between each block of the sample and master data; first comparing the distance between classes between each block of the sample and master data to a reference distance between classes; second comparing the cross-correlations between each block of the sample and master image to a reference cross-correlation; verifying a fingerprint as that of the designated person based on results from the first and second comparisons.

Claim 6

A method for verifying that a sample image of a fingerprint is that of a designated person through comparison of sample data, generated from the sample image, with master data, generated from a master image of the designated person's fingerprint, the master and sample image having been divided into a plurality of blocks and each block having been divided into a plurality of block areas, each block area is comprised of pixels each having an associated direction as the sample and master data, the method comprising the steps of: determining a cross-correlation between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a similarity in directions associated with the pixels in a block area; calculating a mean of the cross-correlations between the block areas for each block of the sample and master image to determine a cross-correlation between each block of the sample and master image; determining a distance between classes between the block areas of each block in the sample image and the master image based on a number of pixels in each block area of the sample image and master image associated with a direction which represents a difference in directions associated with the pixels in a block area; calculating a mean of the distance between classes between the block areas for each block of the sample and master data to determine a distance between classes between each block of the sample and master data; first comparing the distance between classes between each block of the sample and master data to a reference distance between classes; second comparing the cross-correlations between each block of the sample and master image to a reference cross-correlation; verifying a fingerprint as that of the designated person based on results from the first and second comparisons.