US 2026/0279097 A1 · DEVICE AND METHOD OF CLASSIFYING FINGERPRINT PATTERN TYPE USING DEEP LEARNING

Abstract

A fingerprint pattern type classification method using deep learning includes: obtaining a plurality of fingerprint images; classifying and labeling the obtained fingerprint images based on a predefined classification system; generating a fingerprint image database by storing the classified and labeled fingerprint images; extracting training data and validation data from the fingerprint image database and separating them according to a preset ratio; performing deep learning model training using the training data; performing validation of the trained deep learning model using the validation data; performing pattern classification of the fingerprint images using the trained deep learning model; and performing detailed classification for each pattern through machine learning using a result of the pattern classification of the fingerprint images as input.

Claims15

Dependent claims

A fingerprint pattern type classification method using deep learning, the fingerprint pattern type classification method comprising:

obtaining a plurality of fingerprint images;
classifying and labeling the obtained fingerprint images based on a predefined classification system;
generating a fingerprint image database by storing the classified and labeled fingerprint images;
extracting training data and validation data from the fingerprint image database and separating them according to a preset ratio;
performing deep learning model training using the training data;
performing validation of the trained deep learning model using the validation data;
performing pattern classification of the fingerprint images using the trained deep learning model;
and
performing detailed classification for each pattern through machine learning using a result of the pattern classification of the fingerprint images as input,
wherein the fingerprint images comprise an original fingerprint image and an extended fingerprint image, and
wherein the extended fingerprint image is generated by dividing the original fingerprint image into a plurality of sections and applying an opacity filter to the divided fingerprint image.

8 more elements

A fingerprint pattern type classification device using deep learning, the fingerprint pattern type 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 plurality of fingerprint images;
classify and label the obtained fingerprint images based on a predefined classification system;
generate a fingerprint image database by storing the classified and labeled fingerprint images;
extract training data and validation data from the fingerprint image database and separating them according to a preset ratio;
perform deep learning model training using the training data;
perform validation of the trained deep learning model using the validation data;
perform pattern classification of the fingerprint images using the trained deep learning model;
and
perform detailed classification for each pattern through machine learning using a result of the pattern classification of the fingerprint images as input,
wherein the fingerprint images comprise an original fingerprint image and an extended fingerprint image, and
wherein the extended fingerprint image is generated by dividing the original fingerprint image into a plurality of sections and applying an opacity filter to the divided fingerprint image.

12 more elements

Dependencies are inferred from the claim text.

Device and method of classifying fingerprint pattern type using deep learning

Life of this patent

Device and method of classifying fingerprint pattern type using deep learning

Life of this patent

Abstract

Claims15