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Finger Vein Image Registration Based on Genetic Algorithm

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Genetic and Evolutionary Computing (ICGEC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

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Abstract

Finger vein recognition technology is an emerging biometric identification technology that utilizes the distribution structure of venous blood vessels to achieve identification. The vein recognition process is divided into two parts: registration and recognition. In the registration process, the generation of registration template is particularly important. In order to obtain the registration template more accurately, this paper proposes a finger vein image registration algorithm based on genetic algorithm. The principle of the algorithm is to use the mutual information of two finger vein images as the fitness function of the genetic algorithm, and use the genetic algorithm to search for the optimal parameters of the rigid body transformation model. The experimental results show that the algorithm is effective and can achieve the registration of finger vein images within a short iteration.

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Acknowledgements

This work is partly supported by the National Natural Science Foundation of China under Grant No. 61873131, 61702284 and 61572261.

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Authors and Affiliations

  1. College of Computer, Nanjing University of Posts and Telecommunications, 210023, Nanjing, China

    Zilong Chen, Wen Wang, Lijuan Sun, Jian Guo, Chong Han & Hengyi Ren

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, 210023, Nanjing, China

    Lijuan Sun, Jian Guo & Chong Han

Authors
  1. Zilong Chen
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  2. Wen Wang
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  3. Lijuan Sun
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  4. Jian Guo
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  5. Chong Han
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  6. Hengyi Ren
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Corresponding author

Correspondence to Zilong Chen .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

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Cite this paper

Chen, Z., Wang, W., Sun, L., Guo, J., Han, C., Ren, H. (2019). Finger Vein Image Registration Based on Genetic Algorithm. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_20

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