iris recognition by curvelet transform and hamming distance

(2 customer reviews)

$42

Description

In this code we use 400 iris image in training and test.

Feature extraction is based on curvelet transform

Classification is based on hamming distance.

related papers :

Sathiyaraja, K., M. Dhineshkumar, and N. Thiyagarajan. “Iris Segmentation and Recognization Using Log Gabor Filter and Curvelet Transform.” International Journal Of Engineering And Computer Science 2.9 (2013): 2709-2714.
9 ijecs

Ahamed, Afsana, and Mohammed Imamul Hassan Bhuiyan. “Low complexity iris recognition using curvelet transform.” Informatics, Electronics & Vision (ICIEV), 2012 International Conference on. IEEE, 2012.
ahamed2012

Ma, Jianwei, and Gerlind Plonka. “The curvelet transform.” Signal Processing Magazine, IEEE 27.2 (2010): 118-133.

CurveletTransform
Sun, Jie, Zhe-Ming Lu, and Lijian Zhou. “Iris Recognition using curvelet transform based on principal component analysis and linear discriminant analysis.” J Inf Hiding Multimedia Signal Process 5.3 (2014): 567-573.

guesmi2012
Umer, Saiyed, Bibhas Chandra Dhara, and Bhabatosh Chanda. “Iris recognition using multiscale morphologic features.” Pattern Recognition Letters 65 (2015): 67-74.

umer2015

first run

step1_algorithm_generate_DATA1\start1.m

to generate DATA1.mat

then copy it to current folder

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main code is

new_curvelet1_hamming20.m

output of iris recognition by curvelet transform and hamming distance MATLAB code free download

second output of iris recognition by curvelet transform and hamming distance MATLAB code free download

2 reviews for iris recognition by curvelet transform and hamming distance

  1. blank

    Sophia

    Very good and useful

  2. blank

    Adalgar

    Everything perfect. Highly recommended.

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