TY - GEN
T1 - Neural network optimization for combinations in identification systems
AU - Tulyakov, Sergey
AU - Govindaraju, Venu
PY - 2009
Y1 - 2009
N2 - In this paper we investigate the construction of combination functions in identification systems. In contrast to verification systems, the optimal combination functions for identification systems are not known. In this paper we represent the combination function by means of a neural network and explore different methods of its training, so that the identification system performance is optimized. The modifications are based on the principle of utilizing best impostors from each training identification trial. The experiments are performed on score sets of biometric matchers and handwritten word recognizers. The proposed combination methods are able to outperform the likelihood ratio, which is optimal combination method for verification system, as well as, weighted sum combination method optimized for best performance in identification systems.
AB - In this paper we investigate the construction of combination functions in identification systems. In contrast to verification systems, the optimal combination functions for identification systems are not known. In this paper we represent the combination function by means of a neural network and explore different methods of its training, so that the identification system performance is optimized. The modifications are based on the principle of utilizing best impostors from each training identification trial. The experiments are performed on score sets of biometric matchers and handwritten word recognizers. The proposed combination methods are able to outperform the likelihood ratio, which is optimal combination method for verification system, as well as, weighted sum combination method optimized for best performance in identification systems.
KW - Biometric matchers
KW - Classifier combination
KW - Identification system
KW - Neural network
UR - https://www.scopus.com/pages/publications/70349433854
U2 - 10.1007/978-3-642-02326-2_42
DO - 10.1007/978-3-642-02326-2_42
M3 - Conference contribution
AN - SCOPUS:70349433854
SN - 3642023258
SN - 9783642023255
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 418
EP - 427
BT - Multiple Classifier Systems - 8th International Workshop, MCS 2009, Proceedings
T2 - 8th International Workshop on Multiple Classifier Systems, MCS 2009
Y2 - 10 June 2009 through 12 June 2009
ER -