Extraction of finger-vein patterns using maximum curvature points in image profiles

Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

Volumn , Issue , 2005, Pages 347-350

  Miura, Naoto ^a   Nagasaka, Akio ^a   Miyatake, Takafumi ^a  

^a HITACHI LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CENTERLINES; CONVENTIONAL METHODS; CROSS SECTIONAL PROFILES; CURVATURE POINTS; EQUAL ERROR RATE; FINGER-VEIN; IMAGE PROFILE; INFRARED LIGHT; LOCAL MAXIMUM; PERSONAL IDENTIFICATION; PHYSICAL CONDITIONS; VEIN PATTERN;

BIOMETRICS; LUMINANCE;

COMPUTER VISION;

EID: 39749116248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M. Kono, H. Ueki, and S. Umemura, "A new method for the identification of individuals by using of vein pattern matching of a finger, " in Proceedings of the Fifth Symposium on Pattern Measurement, (Yamaguchi, Japan, 2000) pp. 9-12 (in Japanese).
2. N. Miura, A. Nagasaka, and T. Miyatake, "Feature Extraction of finger-vein patterns based on repeated line tracking and its Application to Personal Identification, " Machine Vision and Applications, Vol. 15, No. 4, pp. 194-203, IAPR, 2004.
3. A. Hoover, V. Kouznetsova, and M. Goldbaum, "Locating Blood Vessels in Retinal Image by Piece-wise Threshold Probing of a Matched Filter Response, " IEEE Transactions on Medical Imaging, 2000.
4. T. Walter, J. Klein, P. Massin, and F. Zana, "Automatic Segmentation and Registration of Retinal Fluorescein Angiographies- Application to Diabetic Retinopathy, " First InternationalWorkshop on Computer Assisted Fundus Image Analysis, May 29-30, pp. 15-20, Copenhagen, Denmark, 2000.
5. A. K. Jain and S. Pankanti, "Automated Fingerprint Identifi cation and Imaging Systems, " Advances in Fingerprint Technology, 2nd Ed. (H. C. Lee and R. E. Gaensslen), Elsevier Science, New York, 2001.