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What is Fusion

Handbook of Research on Engineering Innovations and Technology Management in Organizations
It is the use of multiple types of biometric data or ways of processing the data to improve the performance of biometric systems.
Published in Chapter:
Contemporary Biometric System Design
Himanshu Purohit (Sir Padampat Singhania University, India) and Pawan K. Ajmera (Birla Institute of Technology and Science, Pilani, India)
DOI: 10.4018/978-1-7998-2772-6.ch016
Individual's Identity Authentication depends on physical traits like face, iris, and fingerprint, etc., or behavioral traits like voice and signature. With the rapid advancement in the field of biometrics, multimodal biometric systems are replacing unimodal biometric systems. As the application of molecular biometric system removes certain errors like noisy data, interclass variations, spoof attacks, and unacceptable error rates as compared to unimodal biometric systems. Even the possibilities of multiple scenarios present in multimodal biometric systems are quite helpful for the consolidation of information using different levels of fusion. In this chapter, the authors try to analyze the technological change which is present due to growing field of biometrics with artificial intelligence and undergone a thorough research for multimodal biometric systems for effective authentication purpose. This study is quite helpful for getting different perception for the use of biometrics as a highest level of network security due to the fusion of many different modalities.
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Evaluation of Medical Image Compression
Combination of different data in order to improve decision making.
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Biometric Identification Techniques
Combines biometric characteristics derived from one or more modalities or technologies (algorithms, sensors), multiple characteristics derived from samples, or multiple or repeated biometric instances to increase performance. Biometrics fusion centers on the capture and comparison of multiple biometric measurements like fingerprint and face
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