Pilot testing of developed multimodal biometric identity verification system

The bank client identity verification system developed in the course of the IDENT project is presented. The total number of five biometric modalities including: dynamic signature proofing, voice recognition, face image verification, face contour extraction and hand blood vessels distribution comparison have been developed and studied. The experimental data were acquired employing multiple biometric sensors installed at engineered biometric terminals. The biometric portraits of 125 subjects were registered and stored in the database during the presented pilot study and then verified experimentally. The analysis of FAR and FRR measures obtained for developed biometric applications was made. Problem-specific survey was done on the basis of questionnaires completed by the subjects in order to assess the look and feel of the developed biometric system as well as to collect opinions concerning its implementation in banking outlets. A discussion concerning the quality of registered signals and results achieved in the pilot study is included.

[1]  Fred Nicolls,et al.  Active shape models with SIFT descriptors and MARS , 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[2]  Anil K. Jain,et al.  Open source biometric recognition , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[3]  Andrzej Czyzewski,et al.  Face Profile View Retrieval Using Time of Flight Camera Image Analysis , 2015, PReMI.

[4]  Sanghamitra Bandyopadhyay,et al.  Pattern Recognition and Machine Intelligence : 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings , 2015, PReMI 2015.

[5]  Vijay H. Mankar,et al.  Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment , 2015, 2015 International Conference on Computational Intelligence and Communication Networks (CICN).

[6]  Qingyang Hong,et al.  GMM-UBM for text-dependent speaker recognition , 2012, 2012 International Conference on Audio, Language and Image Processing.

[7]  Matti Pietikäinen,et al.  Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data , 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

[8]  Ratnadeep R. Deshmukh,et al.  Face recognition using fusion of PCA and LDA: Borda count approach , 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).

[9]  M. Szczodrak,et al.  Face detection algorithms evaluation for the bank client verification , 2016, 2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).