On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Dependence of Handwritten Word Recognizers on Lexicons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Influence of Word Length on Handwriting Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
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Currently biometric system performance is evaluated in terms of its FAR and FRR. The accuracy expressed in such a manner depends on the characteristics of the dataset on which the system has been tested. Using different datasets for system evaluation makes a true comparison of such systems difficult, more so in cases where the systems are designed to work on different biometrics, such as fingerprint and signature. We propose a similarity metric, calculated for a pair of fingerprint templates, which will quantize the “confusion” of a fingerprint matcher in evaluating them. We show how such a metric, can be calculated for an entire biometric database, to give us the amount of difficulty a matcher has, when evaluating fingerprints from that database. This similarity metric can be calculated in linear time, making it suitable for large datasets.