Abstract book (pdf) - ICPR 2010

09:00-11:10, Paper TuAT9.31
An Efficient Method for Offline Text Independent Writer Identification
Ghiasi, Golnaz, Amirkabir Univ. of Tech.
Safabakhsh, Reza, Amirkabir Univ. of Tech.
This paper proposes, an efficient method for text independent writer identification using a codebook. The occurrence histogram
of the shapes in the codebook is used to create a feature vector for the handwriting. There is a wide variety of different
shapes in the connected components obtained from handwriting. Small fragments of connected components should
be used to avoid complex patterns. A new and more efficient method is introduced for this purpose. To evaluate the methods,
writer identification is conducted on three varieties of a Farsi database. These varieties include texts of short, medium and
large lengths. Experimental results show the efficiency of the method especially for short texts.
09:00-11:10, Paper TuAT9.32
Study on Color Spaces for Single Image Enrolment Face Authentication
Hemery, Baptiste, Univ. de CAEN
Schwartzmann, Jean-Jacques, Orange Lab.
Rosenberger, Christophe, Lab. GREYC
We propose in this paper to study different color spaces for representing an image for the face authentication application.
We used a generic algorithm based on a matching of keypoints using sift descriptors computed on one color component.
Ten color spaces have been studied on four large and signicant benchmark databases (ENSIB, FACES94, AR and FERET).
We show that all color spaces do not provide the same efficiency and the use of the color information allows an interesting
improvement of verification results.
09:00-11:10, Paper TuAT9.33
Estimation of Fingerprint Orientation Field by Weighted 2D Fourier Expansion Mode
Tao, Xunqiang, Chinese Acad. of Sciences
Yang, Xin, Chinese Acad. of Sciences
Cao, Kai, Chinese Acad. of Sciences
Wang, Ruifang, Chinese Acad. of Sciences
Li, Peng, Chinese Acad. of Sciences
Tian, Jie
Accurate estimation of fingerprint orientation field is an essential module in fingerprint recognition. This paper proposes
a novel technique for improving fingerprint orientation field estimation by fingerprint orientation model based on weighted
2D fourier expansion(W-FOMFE). The motivation for the proposed method can be found by: 1)the original FOMFE is
sensitive to abrupt changes in orientation field; 2) blocks of different quality should have different impacts on FOMFE.
Thus, we take into account the information of the Harris-corner strength (HCS) for orientation field estimation. In our
method, we first calculate the fingerprint’s HCS; then use the HCS to remove abrupt changes in orientation field; finally,
incorporate the normalized HCS as weighted value into original FOMFE. We test our method on FVC2004DB1. Experimental
results show that our method (W-FOMFE) has better orientation field estimation than FOMFE.
09:00-11:10, Paper TuAT9.34
Iterative Fingerprint Enhancement with Matched Filtering and Quality Diffusion in Spatial-Frequency Domain
Sutthiwichaiporn, Prawit, Kasetsart Univ.
Areekul, Vutipong, Kasetsart Univ.
Jirachaweng, Suksan, Kasetsart Univ.
The proposed fingerprint enhancement algorithm utilizes power spectrum in spatial-frequency domain. The input fingerprint
is partitioned and assessed as high/low quality zone by using signal-to-noise ratio (SNR) approach. For high quality
zone, signal spectrum with noise suppression is used to shape an enhanced filter in frequency domain. Then, this algorithm
feed neighboring enhanced zone back in order to repair unreliable low quality region. The proposed algorithm out-performs
Gabor and STFT approaches by fingerprint matching experiments on FVC2004 Db2 and Db3.
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