이산 웨이블릿 변환을 이용한 지문의 계층적 분류

• 영문명: Hierarchical classification of fingerprints using discrete wavelet transform
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 권용호(Kwon Yong Ho) 이정문(Lee Jung Moon)
• 간행물 정보: 『산업기술연구』vol.19, 1~6쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1999.09.30

영문 초록

An efficient method is developed for classifying fingerprint data based on 2-D discrete wavelet transform. Fingerprint data is first converted to a binary image. Then a multi-level 2-D wavelet transform is performed. Vertical and horizontal subbands of the transformed data show typical energy distribution patterns relevant to the fingerprint categories. The proposed method with moderate level of wavelet transform is successful in classifying fingerprints into 5 different types. Finer classification is possible by higher frequency subbands and closer analysis of energy distribution.

목차

Abstract

1. 서론

2. 기존 분류방법과 문제점

2. 전처리 과정

3. DWT를 이용한 영상처리

4. 실험결과

5. 결론

참고문헌

키워드

Fingerprint Hierarchical classification Discrete Wavelet Transform Energy distribution