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… 

Utilizing Discrete Wavelet Transform and Discrete Cosine Transform for Iris Recognition

A technique for analyzing the combination of the features extracted by DWT and DCT all atOnce all at once is provided and the accuracy rates yielded reached 100%.

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 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.

EfficientIris Recognition System Using 2-DCT Algorithm

In this paper, brief description about biometrics and iris recognition technology along with the steps involved in its implementation is given.

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.

References

SHOWING 1-10 OF 17 REFERENCES

Iris recognition: an emerging biometric technology

Iris recognition as one of the important method of biometrics-based identification systems and iris recognition algorithm is described and experimental results show that the proposed method has an encouraging performance.

Personal Identification Based on Iris Texture Analysis

A bank of spatial filters, whose kernels are suitable for iris recognition, is used to capture local characteristics of the iris so as to produce discriminating texture features and results show that the proposed method has an encouraging performance.

Efficient iris recognition by characterizing key local variations

The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image structure, are utilized to represent the characteristics of the iris.

Iris Recognition Using Modified Hierarchical Phase-Based Matching (HPM) Technique

The use of phase components in 2D (two dimensional) discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition in a unified fashion with a simple matching algorithm.

Iris recognition method based on the imaginary coefficients of Morlet wavelet transform

  • Zhonghua LinB. Lu
  • Computer Science
    2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery
  • 2010
An iris recognition method based on the imaginary coefficients of Morlet wavelet transform that can reach 99.641% that can meet the demand of iri recognition.

Iris recognition based on non-separable wavelet

A novel method for iris matching that decompose iris picture into wavelet subband coefficients via 16 non-separable wavelet filters, and use generalized Gaussian density modeling of each non- separable orthogonal wavelet coefficients as a means of feature extraction.

Iris Recognition with Low Template Size

The authors have developed their own Iris Recognition system, obtaining results that show the performance of the prototype and proves the excellences of the system initially developed by Daugman.

Iris Recognition Methods - Survey

Different iris recognition methods which aid an appropriate outlook for future work to build integrated classifier on latest input devices for excellent business transactions are discussed.

How iris recognition works

  • J. Daugman
  • Computer Science
    IEEE Transactions on Circuits and Systems for Video Technology
  • 2004
Algorithms developed by the author for recognizing persons by their iris patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison

Iris recognition system based on chaos encryption

Experimental results show that the iris recognition system provides a high recognition accurate and high encryption speed, and the system will be encrypted and decrypted based on the method of ciphertext feedback.