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Iris biometrics for embedded systems

Iris biometrics for embedded systems

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Embedded systems are becoming widespread nowadays. We can find these systems in many applications, as part of bigger systems but as well as standalone systems. Designed for the increasing necessity of access control, many implementations of iris biometrics systems are being carried out in embedded systems. This chapter is focused on such developments, and therefore is structured as follows: first an introduction to embedded systems is made, to later describe some of the most common architectures of these systems and the design alternatives. After that, considering the particular case of an iris biometric system, detailed requirements are described. These requirements are divided into functionality and security requirements. Later on, state-of-the-art implementations according to different design alternatives are presented.

Chapter Contents:

  • 18.1 Introduction to embedded systems
  • 18.2 Design strategies for developing embedded systems
  • 18.2.1 General architecture of an embedded system
  • 18.2.2 Architecture alternatives
  • 18.2.2.1 Microprocessor
  • 18.2.2.2 Full custom circuits
  • 18.2.2.3 Combining solutions
  • 18.3 Biometric requirements for embedded systems
  • 18.3.1 Functional requirements
  • 18.3.2 Security requirements
  • 18.3.2.1 Communications security
  • 18.3.2.2 Physical requirements
  • 18.3.2.3 Electronic hardening
  • 18.4 Iris biometrics analysis for embedded systems
  • 18.4.1 Data capture
  • 18.4.2 Preprocessing
  • 18.4.3 Feature extraction
  • 18.4.4 Comparison
  • 18.5 Existing implementations
  • 18.5.1 Custom hardware-FPGA
  • 18.5.2 Software implementations
  • 18.5.2.1 General purpose microprocessors
  • 18.5.2.2 DSP
  • 18.5.2.3 Co-design
  • 18.5.2.4 Mobile devices integrations
  • 18.6 Conclusions
  • References

Inspec keywords: embedded systems; authorisation; iris recognition

Other keywords: functionality requirements; iris biometric system; access control; embedded systems; security requirements

Subjects: Computer vision and image processing techniques; Image recognition; Data security

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