Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Embedded Fingerprint Identification System Based on DSP Chip

  • Conference paper
Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 104))

  • 936 Accesses

Abstract

Fingerprint identification system set pattern recognition, image processing, and database technology in one, suitable for a variety of authentication applications, with a wide range of applications. This article describes the method of DSP microprocessor for the silicon materials manufacturing-based embedded fingerprint recognition system method and specifies the system’s hardware and software design process. The system is able to automatically carry out classification, moreover, compare the results with the fingerprint database in real time. Experimental results show that the system can quickly obtain information on the identity of persons to be identified.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Xu, H.-l., Shi, H.-r.: Investigation on S3C2440-based Embedded Fingerprint Identification System. Instrumentation Technology (02), 46–48 (2011)

    Google Scholar 

  2. Wang, J.: Design of Fingerprint Identification System Based on DSP. Industrial Control Computer (03), 65–67 (2010)

    Google Scholar 

  3. Pan, J.-j., Zhang, H.-y.: Design of embedded automatic fingerprint identification system. Journal of Beijing Information Science & Technology University (01), 62–65 (2010)

    Google Scholar 

  4. Ren, L., Chen, L.: Design and Implementation of Fingerprint Verification System Based on Embedded Application. Science Mosaic (03), 82–84 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Network Management Center, Xinxiang University, Henan, Xinxiang, China, 453003

    Fuqiang Wang

  2. School of Information Engineer, Henan Institute of Science and Technology, Henan, Xinxiang, China, 453003

    Guohong Gao

Authors
  1. Fuqiang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guohong Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Wuhan Section, International Science & Education Researcher Association, Special No.1 Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, F., Gao, G. (2011). Embedded Fingerprint Identification System Based on DSP Chip. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_96

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23777-5_96

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23776-8

  • Online ISBN: 978-3-642-23777-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation