Minutiae filtering using ridge-valley method

  1. AMELLER, Marco Antonio 1
  2. GONZÁLEZ, María Angélica 2
  1. 1 University Tomas Frias Potosi Bolivia
  2. 2 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Año de publicación: 2016

Volumen: 5

Número: 1

Páginas: 1-10

Tipo: Artículo

DOI: 10.14201/ADCAIJ201651110 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Resumen

In order to identify subjects in a convenient and efficient way one must use some special feature that makes it possible to discriminate between persons. Some of the features are biometric in nature, such as iris texture, hand shape, the human face, and of course finger prints. These play an important role in many automatic identification systems, since every person is believed to have a unique set of fingerprints. Before a fingerprint image can be looked up in a database, it has to be classified into one of 5 types in order to reduce processing times.

Referencias bibliográficas

  • Alonso Fernandez F.- Fierrez-Aguilar J. and Ortega-Garcia J., 2005. An Enhanced Gabor Filter-Based Segmentation Algorithm for Fingerprint Recognition Systems, In Int. Symp. on Image and Signal Processing and Analysis. http://dx.doi.org/10.1109/ispa.2005.195416
  • Arcelli C. and Baja G.S.D., 1984. A width independent fast thinning algorithm. In IEEE Transactions on Pattern Analysis Machine Intelligence.
  • Hong, L., Wan, Y. and Jain, A. K. 1998. Fingerprint image enhancement: Algorithm and performance evaluation. In IEEE Trans. Pattern Anal. Machine Intell., 20: 777–789. http://dx.doi.org/10.1109/34.709565
  • Hung D.C.D., 1993. Enhancement and feature purification of fingerprint images, Pattern Recognition.
  • Lam L. Lee S.W. and Suen C.Y., 1992. Thinning methodologies: A comprehensive survey. In IEEE Transactions on Pattern Analysis Machine Intelligence. http://dx.doi.org/10.1109/34.161346
  • Miller, B. 1994. Vital signs of identity.IEEE Spectrum, 31 (2): 22-30. http://dx.doi.org/10.1109/6.259484
  • Rao, A. R. 1990. A Taxonomy for Texture Description and Identification, New York: Springer-Verlag. http://dx.doi.org/10.1007/978-1-4613-9777-9
  • Ratha N.K. - Chen S.Y. and Jain A.K., 1995. Adaptive flow orientation-based feature extraction in fingerprint images, Pattern Recognition, 1995.
  • Woods, K.; Kegelmeyer, W.P. and Bowyer, K.W. 1997. Combination of Multiple Classifiers Using Local Accuracy Estimates. In IEEE Trans. Pattern Analysis and Machine Intelligence, 19(4): 405-410. http://dx.doi.org/10.1109/34.588027