By Sadaoki Furui
This booklet originated in a call for participation from Marcel Dekker. Inc. to place jointly a booklet of unique articles on quite a few features of speech sign processing.
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Extra resources for Advances in speech signal processing
Biometric Recognition: Challenges and Opportunities 14 BIOMETRIC RECOGNITION Understanding how users interact with systems also merits further attention. The characteristics of the subject population, their attitudes and level of cooperation, the deployment environment, and procedures for measuring performance can all affect the system. Consequently, observation and experimentation in operational systems are required to understand how well biometric applications satisfy their requirements. Because of the challenges inherent in closely observing individuals, with or without their cooperation, human factors are critical to the design of processes for monitoring subjects and operators when assessing the effectiveness of a biometric system.
1 History of the Field—Two Biometrics “Biometrics” has two meanings, both in wide use. The subject of this report—the automatic recognition of individuals based on biological and behavioral traits—is one meaning, which apparently dates from the early 1980s. In biology, agriculture, medicine, public health, demography, actuarial science, and fields related to these, “biometrics,” “biometry,” and “biostatistics” refer almost synonymously to statistical and mathematical methods for analyzing data in the biological sciences.
Data from different modalities are combined, such as face and fingerprint, or iris and voice. Such systems require both hard- 18 The term “performance,” used in the biometrics community generally, refers broadly to error rates, processing speed, and data subject throughput. See, for example, http://www. pdf. 19 A. K. Jain, Multimodal biometrics: An overview. Proceedings of 12th European Signal Processing Conference. pdf. Copyright © National Academy of Sciences. All rights reserved. Biometric Recognition: Challenges and Opportunities 36 BIOMETRIC RECOGNITION ware (sensors) and software (algorithms) to capture and process each modality being used.