Abstract book (pdf) - ICPR 2010

paper, we propose to analyse pores location for characterizing the liveness of fingerprints. Experimental results on a large
dataset of spoofed and live fingerprints show the benefits of the proposed approach.
09:00-11:10, Paper TuAT9.43
Applying Dissimilarity Representation to Off-Line Signature Verification
Batista, Luana, École de Tech. Supérieure
Granger, Eric, École de Tech. Supérieure
Sabourin, R., École de Tech. Supérieure
In this paper, a two-stage off-line signature verification system based on dissimilarity representation is proposed. In the
first stage, a set of discrete left-to-right HMMs trained with different number of states and codebook sizes is used to
measure similarity values that populate new feature vectors. Then, these vectors are input to the second stage, which provides
the final classification. Experiments were performed using two different classification techniques – AdaBoost, and
Random Subspaces with SVMs – and a real-world signature verification database. Results indicate that the performance
is significantly better with the proposed system over other reference signature verification systems from literature.
09:00-11:10, Paper TuAT9.44
3D Face Decomposition and Region Selection against Expression Variations
Günlü, Göksel, Gazi Univ.
Bilge, Hasan Sakir, Gazi Univ.
3D face recognition exploits shape information as well as texture information in 2D systems. The use of whole 3D face is
sensitive to some undesired situations like expression variations. To overcome this problem, we investigate a new approach
that decomposes the whole 3D face into sub-regions and independently extracts features from each sub-region. 3D DCT
is applied to each sub-region and most discriminating DCT coefficients are selected. The nose region gives the most contribution
to the list of discriminating coefficients. Furthermore, a better recognition rate is achieved by only using the nose
region. The highest recognition score in our experiments is 98.97% where rank-one recognition rates are considered. The
results of the proposed approach are compared to other methods that use FRGC v2 database.
09:00-11:10, Paper TuAT9.45
Fusion of Qualities for Frame Selection in Video Face Verification
Villegas, Mauricio, Univ. Pol. De Valencia
Paredes, Roberto, Univ. Pol. De Valencia
It is known that the use of video can help improve the performance of face verification systems. However, processing
video in resource constrained devices is prohibitive. In order to reduce the load of the algorithms, a quality-based selection
of frames can be applied. Generally there are available several qualities and thus a good fusion scheme is required. This
paper addresses the problem of fusing quality measures such that the resulting quality improves the performance of frame
selection. A comparison of different methods for fusing qualities is presented. Also, some new quality measures based on
time derivatives are proposed, which are shown to be beneficial for estimating the overall quality. Finally, a curve is proposed
which proves that the qualities used for frame selection effectively improve verification performance, independent
of the number of frames selected or the method employed for obtaining the overall biometric score.
09:00-11:10, Paper TuAT9.46
A Person Retrieval Solution using Finger Vein Patterns
Tang, Darun, Peking Univ.
Huang, Beining, Peking Univ.
Li, Rongfeng, Peking Univ.
Li, Wenxin, Peking Univ.
Dai, Yanggang, Peking Univ.
Personal identification based on finger vein patterns is a newly developed biometrics technique and several practical systems
have been deployed recent years. We developed a finger vein verification system for checking attendance and have
collected a database of 0.8 million finger vein samples. Based on the database, we proposed a person retrieval solution for
searching an image in the database and can get the response in an acceptable time. To fit for the retrieval solution, we de-
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