Fingerprint identification method based on centre point vector connection

Abstract

The invention relates to a fingerprint identification method based on central point vector correlative block; pre-stored template fingerprint data is used as the comparison reference data, which is a fingerprint array scanning image used for recording fingerprint indifference full-code data. A special calculation method is introduced for fingerprints waiting for comparison: first center points are positioned, then the center points are used as the circle center to expand into a block, then the center points are used as a reference to draw four vector lines in different directions; the nearest center point on the line is extracted; the fingerprint value is read; and finally fingerprint values in block and at all center points is processed to form a data set. The data set is searched and compared with the template reference data; the comparison result is compared with the judgment threshold; if the corresponding point is higher than the threshold, a pass is returned, and if the corresponding point is lower than the threshold, a rejection is returned.

Description

[Affiliated technical field] [0001] The invention relates to a fingerprint identification method, in particular to a fingerprint feature value comparison method based on a central point vector correlation domain. [Background technique] [0002] Everyone's skin texture, especially fingerprints, are different in patterns, breakpoints and intersections, that is to say, they are unique and remain unchanged throughout life. Relying on this uniqueness and stability, we can match a person with his fingerprint, and verify his true identity by comparing his fingerprint with the pre-saved fingerprint. This is fingerprint recognition technology. [0003] After experiencing slow technical accumulation, fingerprint identification technology has made relatively great progress in recent years. The successful research of new identification devices, especially silicon wafer sensors and processing chips, has promoted the continuous expansion of application fields. However, with the applica...

AI Technical Summary

Problems solved by technology

However, due to the linear data obtained by block data analysis, it will be limited if it is applied to massive fingerprint data.

Firstly, a large amount of data is required to ensure uniqueness; secondly, the linear data is weak against attacks; thirdly, it can be reversely calculated, and it is easy to be intercepted and counterfeited by the database side or the middle layer