Fingerprint classification device and method using fingerprint classification algorithm based on fingerprint classification system features

A fingerprint classification device using a fingerprint classification algorithm based on fingerprint classification system features, the fingerprint classification device comprising:

• at least one memory storing at least one instruction;
• and
• at least one processor,
• wherein the at least one processor is configured to execute the at least one instruction to:
• obtain a fingerprint image;
• perform first classification, which classifies the fingerprint image into a loop, whorl, arch, and other patterns according to ridge pattern characteristics;
• perform second classification, which classifies the loop into a right loop and left loop,
• classifies the whorl into a plain whorl, double-loop whorl, central pocket loop whorl, and accidental whorl,
• wherein the plain whorl is classified into a simple whorl and annular whorl, and the simple whorl and annular whorl are classified into clockwise rotation and counterclockwise rotation, and
• the double-loop whorl is classified into clockwise rotation and counterclockwise rotation,
• classifies the arch into a plain arch and tented arch, and
• classifies the other patterns into mutilated or extensively scarred patterns and amputations;
• perform third classification, which classifies the right loop and the left loop according to the number of ridges crossing an imaginary line between a core and delta,
• classifies the clockwise and counterclockwise rotations of the simple whorl, the annular whorl, and the double-loop whorl into inner tracing, outer tracing, and meeting tracing, and
• classifies the central pocket loop whorl and the accidental whorl into inner tracing, outer tracing, and meeting tracing;
• and
• output a classification result.