DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification

@article{Dhavale2012DWTAD,
  title={DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification},
  author={Sunita Vikrant Dhavale},
  journal={International Journal of Computer Applications},
  year={2012},
  volume={40},
  pages={33-37}
}
  • S. Dhavale
  • Published 29 February 2012
  • Computer Science
  • International Journal of Computer Applications
iris is one of the most reliable biometric because of its uniqueness, stability and noninvasive nature. Thus it has attracted the attention of biometrics based identification and verification research and development community. In this paper, a new approach of iris image feature extraction technique based on the statistical properties of Discrete Cosine Transform (DCT) domain is proposed. A Canny Edge Detection followed by Hough Transform is used to detect the iris boundaries in the eye's… 
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20 Citations
Background Citations
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Methods Citations
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20 Citations

An Efficient Feature Extraction Method for Iris Recognition Based on Wavelet Transformation

A new approach of iris image compression and feature extraction based on discrete wavelet transformation (DWT) is applied and the obtained features dimensionality were further reduced by using principle component analysis (PCA), which drastically reduces the size of the iris database images.

IRIS RECOGNITION USING DISCRETE WAVELET TRANSFORM

The DWT is consider for recognition process as it is less affected by pupil dilation and illumination along with this it works better in noisy conditions.

Iris Recognition System Based on Lifting Wavelet

A new iris system using on lifting wavelet transform to recognize persons using low-quality iris images to give good identification rates and verification rates for CASIA V1 dataset is proposed.

Iris Recognition Using Discrete Cosine Transform and Relational Measures

An iris recognition system is presented that does iris segmentation, normalization, segregating of unwanted parts like occlusion, specular reflection and noise, and later fusion of the dissimilarity scores of two feature extraction techniques has been proposed to get better performance.

Iris Recognition System Using Dct: A Survey

The iris anatomy, history, general process etc. is discussed, which is considered to be an internal organ that is so well protected by the eyelid and the cornea from environmental damage and also remains stable throughout the whole life.

IJESRTJOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Recognition of Bimodal Biometric System using Transformation Techniques

Recognition of Iris and Fingerprint provides easiest way of security and faster processing and ensures data security and protection of system from unauthorized users as well.

IRIS Recognition: A Review

Iris recognition can be considered as one of the most reliable and accurate method of biometric technology when compared with other biometric technologies such as face, fingerprint and speech…

Iris Recognition Based on 2 D Wavelet Coefficients

A robust and new technique for iris recognition system based on reverse biorthognal 2D discrete wavelet transform is proposed, and with the proposed technique the recognition rate is 99.96% and the time of feature extraction and verification is 2.3 ms.

Iris Recognition Based on 2D Wavelet Coefficients

A robust and new technique for iris recognition system based on reverse biorthognal 2D discrete wavelet transform is proposed, and with the proposed technique the recognition rate is 99.96% and the time of feature extraction and verification is 2.3 ms.

2-DWT and AES: Secure Authentication Management for Polar Iris Templates Using Visual Cryptography

A secure authentication management for polar iris templates is presented using Visual cryptography technique, which exhibits better peak signal to noise ratio (PSNR), mean square error (MSE) and normalized correlation (NC), false acceptance rate (FAR), false rejection rate (FRR), and equal error rate (EER) than the other existing methods.

References

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