Abstract
In these years, Biometric technology has passed through its establishment and maintains a good momentum of growth. With the development and reform of social transformation, it seems almost inevitable that the public safety issues have increasingly become a focus. Biometric technology can effectively prevent infringement, obtain the criminal evidence and maintain the public safety. Many standards related to biometric identification in public security area are about to be implemented. Biometric identification will exploit better development opportunities. However, unimodal biometric may not be able to achieve the desired requirement for public security, especially for criminal in the civilian law enforcement environment. It has been found that unimodal biometric shows some inherent drawbacks in universality and accuracy. Hence, this paper proposes the design of multimodal biometric information management system (MBIMS) to create a collaborative platform by acquiring biometric data from multi-commercial systems, defines the data flow API and applies the prototype system successfully in the field of public security.
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This work was supported in part by Shanghai Public Security Bureau and by Shanghai Municipal People’s Government. We also wish to express thanks to Jiangsu Qingtian Information Technology Co., Ltd.
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Zhu, WJ., Zhuang, CZ., Liu, JW., Huang, M. (2018). Design of Multimodal Biometric Information Management System Based on Commercial Systems. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_21
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DOI: https://doi.org/10.1007/978-3-319-97909-0_21
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