Authors:
JuCheng Yang
;
JinWook Shin
;
BungJun Min
;
Bin Yu
and
DongSun Park
Affiliation:
Chonbuk National University, Korea, Republic of
Keyword(s):
Fingerprint, Recognition, FingerCode, Wavelet Transform.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
FingerCode has been an effective representation for both the local and global information in fingerprints using their reference points. Wavelet transform is known to be a powerful tool for fingerprint enhancement and features extraction. In this paper, a novel method for fingerprint recognition using the FingerCode in wavelet transform domain is proposed. The proposed method includes a new reference point detection method in sub-images of the wavelet transform. Since the proposed method can be used for both feature extraction and pre-processing, conventional pre-processing algorithms can be eliminated from recognition steps and hence, it lowers the overall computational complexity of the recognition. Experimental results show that the proposed method is more accurate and reliable than a traditional FingerCode method.