A review of iris recognition algorithms
Iris recognition has become a popular research in recent years. Due to its reliability and
nearly perfect recognition rates, iris recognition is used in high security areas. Among its …
nearly perfect recognition rates, iris recognition is used in high security areas. Among its …
Iris recognition using multiscale morphologic features
A new set of features for personal verification and identification based on iris image is
proposed in this paper. The method consists of three major components: image pre …
proposed in this paper. The method consists of three major components: image pre …
A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform
R Szewczyk, K Grabowski, M Napieralska… - Pattern Recognition …, 2012 - Elsevier
This article describes an iris recognition algorithm designed to analyze noisy iris biometric
data. The methods forming part of the authentication process were developed and optimized …
data. The methods forming part of the authentication process were developed and optimized …
Iris recognition using artificial neural networks
FN Sibai, HI Hosani, RM Naqbi, S Dhanhani… - Expert Systems with …, 2011 - Elsevier
Biometrics recognition is one of the leading identity recognition means in the world today.
Iris recognition is very effective for person identification due to the iris' unique features and …
Iris recognition is very effective for person identification due to the iris' unique features and …
Texture code matrix-based multi-instance iris recognition
This paper proposes a novel texture feature for iris recognition. The iris recognition system
consists of three major components: pre-processing, feature extraction and classification …
consists of three major components: pre-processing, feature extraction and classification …
Determining diabetes using iris recognition system
Iridology is a science which correlates the apparitions of iris to tissue weaknesses in the
body. It merely reveals weaknesses, inflammation, or toxicity in organs or tissues. It also …
body. It merely reveals weaknesses, inflammation, or toxicity in organs or tissues. It also …
Iris recognition using SVM and ANN
In this paper we proposed an improved novel approach to identify the person using iris
recognition technique. This approach is based on Artificial Neural Network and Support …
recognition technique. This approach is based on Artificial Neural Network and Support …
[PDF][PDF] Extraction of texture features from local iris areas by GLCM and Iris recognition system based on KNN
E Acar - European Journal of Technique (EJT), 2016 - dergipark.org.tr
Biometric systems are systems that enable individuals to be recognized in electronic
environment using some physical and behavioral characteristics. Iris recognition system is …
environment using some physical and behavioral characteristics. Iris recognition system is …
Iris recognition using 3D co-occurrence matrix
WS Chen, RH Huang, L Hsieh - … , ICB 2009, Alghero, Italy, June 2-5, 2009 …, 2009 - Springer
This paper presents a biometric recognition based on the iris of a human eye using gray-
level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is …
level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is …
Iris recognition on hadoop: A biometrics system implementation on cloud computing
NS Raghava - 2011 IEEE International Conference on Cloud …, 2011 - ieeexplore.ieee.org
Cloud computing is one of the highly researched areas today, with an objective of taking
advantage of various computational resources. In this paper we have used cloud computing …
advantage of various computational resources. In this paper we have used cloud computing …