ویراساینس.
سند علمی

An Iris Recognition Algorithm Using Local Extreme Points

Jiali Cui, Yunhong Wang, Tieniu Tan, Li Ma, Zhenan Sun

چکیده

The performance of an iris recognition algorithm depends greatly on its classification ability as well as speed. In this paper, an iris recognition algorithm using local extreme points is proposed. It first detects the local extreme points along the angular direction as key points. Then, the sample vector along the angular direction is encoded into a binary feature vector according to the surface trend (gradient) characterized by the local extreme points. Finally, the Hamming distance between two iris patterns is calculated to make a decision. Extensive experimental results show the high performance of the proposed method in terms of accuracy and speed.

اسناد مشابه

  • Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network

    سند علمی۲۰۰۵MLDMWenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang

    In this paper, we constructed a neuron of point covering of highdimensional space, and proposed a new method for iris recognition based on point covering theory of high-dimensional space. In this method, irises are trained as “cognition” one class by one class, and it doesn’t inf

  • Multimodal Algorithm for Iris Recognition with Local Topological Descriptors

    سند علمی۲۰۰۹CIARPSergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro

    This work presents a new method for feature extraction of iris images to improve the identification process. The valuable information of the iris is intrinsically located in its natural texture, and preserving and extracting the most relevant features is of paramount importance.

  • A. IriTech’s Superior Iris Recognition Algorithm

    سند علمی۲۰۱۲

    Since iris muscles control the size of the pupil, iris pattern shown in a captured iris image deforms significantly during pupil dilation/constriction. Daugman-based approaches assume the iris deformation is linear when mapping the iris to the polar rectangular format. However, i

  • A Phase-Based Iris Recognition Algorithm

    سند علمی۲۰۰۶ICBKazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi

    This paper presents an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in twodimensional discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition with a simple matching algorithm. Ex

  • Hw\sw Implementation of Iris Recognition Algorithm in the Fpga

    سند علمی۲۰۱۲Hentati Raida, Mohamed Abid

    Recent years have seen the growth of new pattern recognition applications which based on personal biometric characteristics. These applications are used for security, logical or physical access control, etc. Iris recognition has been successfully deployed in several large-scale p

  • A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform

    سند علمی۲۰۱۲Pattern Recognition LettersRobert Szewczyk, Kamil Grabowski, Malgorzata Napieralska, Wojciech Sankowski

    0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.08.018 ⇑ Corresponding author. E-mail addresses: szewczyk@dmcs.p.lodz.pl (R. S p.lodz.pl (K. Grabowski), mnapier@dmcs.p.lodz.pl (M. Nap (W. Sankowski), mariuszz@dmcs.p.lodz.pl (M. Zubert), na alski). URL: