Optimization of Human Recognition from the Iris Images using the Haar wavelet

  • Nahal Avazpour Master student
  • Mehran Emadi signal processing
Keywords: iris identification, wavelet

Abstract

Today, biometric recognition (based on biological signs) is a common and reliable method for recognizing and identity confirmation based on their behavioral and physiological characteristics. Physiological characteristics are consistent with the physical characteristics of individuals such as fingerprints, iris pattern, facial features, and the like. This type of property often does not change without external exertion. Behavioral characteristics such as signature, spoken pattern and iris are also a scale for identification and identity confirmation. In this study, using the wavelet method, the efficiency of human identification was increased by 75%.

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Published
2018-12-28
How to Cite
Avazpour, N., & Emadi, M. (2018). Optimization of Human Recognition from the Iris Images using the Haar wavelet. Majlesi Journal of Telecommunication Devices, 8(1), 13-19. Retrieved from http://journals.iaumajlesi.ac.ir/td/index/index.php/td/article/view/513
Section
Articles