TY - GEN
T1 - Resolution and distortion compensation based on sensor evaluation for interoperable fingerprint recognition
AU - Han, Youngchan
AU - Nam, Jungwoo
AU - Park, Nohjun
AU - Kim, Hakil
PY - 2006
Y1 - 2006
N2 - The resolution difference and image distortion due to sensor characteristics lead to considerable difficulties when matching fingerprints between disparate sensors. The purpose of this study is to compensate the image resolution and distortion before fingerprint features are extracted in order to increase the fingerprint recognition rate between disparate sensor systems. This paper presents a compensation algorithm, both in template level and in image level. In the template level compensation, the Unit Vector method is proposed for compensation of minutiae direction. The distortion can be compensated by utilizing the horizontal and vertical resolutions of each fingerprint sensor. The proposed algorithm has been tested over Korean Fingerprint Recognition Interoperability Alliance's database constructed by nine commercial sensors, and demonstrates very promising results.
AB - The resolution difference and image distortion due to sensor characteristics lead to considerable difficulties when matching fingerprints between disparate sensors. The purpose of this study is to compensate the image resolution and distortion before fingerprint features are extracted in order to increase the fingerprint recognition rate between disparate sensor systems. This paper presents a compensation algorithm, both in template level and in image level. In the template level compensation, the Unit Vector method is proposed for compensation of minutiae direction. The distortion can be compensated by utilizing the horizontal and vertical resolutions of each fingerprint sensor. The proposed algorithm has been tested over Korean Fingerprint Recognition Interoperability Alliance's database constructed by nine commercial sensors, and demonstrates very promising results.
UR - http://www.scopus.com/inward/record.url?scp=40649102720&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:40649102720
SN - 0780394909
SN - 9780780394902
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 692
EP - 698
BT - International Joint Conference on Neural Networks 2006, IJCNN '06
T2 - International Joint Conference on Neural Networks 2006, IJCNN '06
Y2 - 16 July 2006 through 21 July 2006
ER -