Improved FAR and FRR using Wavelet Transform in Iris Recognition System
نویسندگان
چکیده
Iris recognition is emerging as one of the important methods of biometrics-based identification system. It consists of five major steps iris acquisition, segmentation, normalization, feature extraction and matching. In this work, we used Wavelet transform function in place of Hough transform function. After extraction of feature of iris used feature optimizations technique for better selection of feature. The better selected feature gone through process of pattern generation and finally matched the template value and improved the FAR and FRR of iris image. Keywords— Biometric, FAR, FRR, Hough transform, Wavelet transform, ACO etc.
منابع مشابه
Iris Recognition using Four Level Haar Wavelet Transform
There is considerable rise in the research of iris recognition system over a period of time. Most of the researchers has been focused on the development of new iris pre-processing and recognition algorithms for good quail iris images. In this paper, iris recognition system using Haar wavelet packet is presented. Wavelet Packet Transform (WPT ) which is extension of discrete wavelet transform ha...
متن کاملA Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
متن کاملIris Recognition Using Ridgelets
Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to fo...
متن کاملMulti-algorithmic Iris Authentication System
The paper proposes a novel technique for iris recognition using texture and phase features. Texture features are extracted on the normalized iris strip using Haar Wavelet while phase features are obtained using LOG Gabor Wavelet. The matching scores generated from individual modules are combined using sum of score technique. The system is tested on database obtained from Bath University and Ind...
متن کاملHuman Ear Identification by Haar and Pca
This paper deals with the performance analysis of classification methods for human ear identification. Today, the world is full of security oriented problems. Hacking the web account, forging the documents and so many crimes leads to the eradication of passwords, pin codes and number based security system. Now, the security system is highly sophisticated with biometrics. Face recognition, iris ...
متن کامل