Papers by jarina mazumdar
Computer methods in biomechanics and biomedical engineering. Imaging & visualization, Aug 17, 2022
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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
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International Journal of Biometrics, 2018
In biometric authentication system, distinct set of characteristic features are used to identify ... more In biometric authentication system, distinct set of characteristic features are used to identify an authorised person. Retina is a stable biometric feature because of its location and unique physiological characteristics. In this paper, we propose a texture feature-based retinal authentication system. Texture features are considered as important features for authentication purpose. These texture features of retina are extracted using local configuration pattern (LCP) and Radon transform technique. The LCP computes the local structural information as well as the microscopic information of the image. Using Radon transform on retinal images, Radon features are extracted which contains the texture information of the blood vessels. A feature vector is formed by combining all theses LCP and Radon features and then fed to a feed-forward artificial neural network (FANN) classifier. This stage checks whether the test image belongs to the authorised person or not. Three general retinal databases DRIVE, HRF, Messidor, and images collected from two local eye hospitals are considered to authenticate a person. Two retinal authentication databases RIDB and VARIA are also used for evaluating the performance of the system. The results obtained show that the system is effective and efficient in authenticating the individuals.
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International Journal of Advanced Research in Computer Science, 2018
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International Journal of Electrical and Electronic Engineering & Telecommunications, 2019
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INDERSCIENCE, 2018
In biometric authentication system, distinct set of characteristic features are used to identify ... more In biometric authentication system, distinct set of characteristic features are used to identify an authorized person. Retina is a stable biometric feature because of its location and unique physiological characteristics. In this paper, we propose a texture feature based retinal authentication system. Texture features are considered as important features for authentication purpose. These texture features of retina are extracted using Local Configuration Pattern (LCP) and Radon transform technique. The LCP computes the local structural information as well as the microscopic information of the image. Using Radon transform on retinal images, Radon features are extracted which contains the texture information of the blood vessels. A feature vector is formed by combining all theses LCP and Radon features and then fed to a Feed-forward Artificial Neural Network (FANN) classifier. This stage checks whether the test image belongs to the authorized person or not. Three general retinal databases DRIVE, HRF, Messidor and images collected from two local eye hospitals are considered to authenticate a person. Two retinal authentication databases RIDB and VARIA are also used for evaluating the performance of the system. The results obtained show that the system is effective and efficient in authenticating the individuals.
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IJEETC, 2019
Retina based person identification is perceived as the most secure and accurate authentication me... more Retina based person identification is perceived as the most secure and accurate authentication means among biometric systems. The superiority of this method stems from the fact that the retina is unique to every individual and it would remain the same throughout a person's life. In this paper, a novel method for person identification is presented using color retinal images. It consists of a parabolic model fitting, feature extraction and finally the matching process. A model based on parabolic fit is developed and used on the main arcade of retinal vasculature. The openness angle of the fitted parabola is calculated and named as Major Arcade angle (MAA). The parameters of the parabola and MAA are considered as features and then these undergo matching criteria for authentication. Performance of the proposed method is tested on three standard databases: DRIVE, HRF, Messidor, one local hospital database, and two authentication databases: RIDB, VARIA, and some pathological images. Index Terms-biometric system, features extraction, feature matching, main vessel arcade, parabolic model.
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A biometric system provides an automatic person authentication based on some characteristic featu... more A biometric system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, the retinal biometric system is unique as well as stable. The retina is a secure and reliable source of person recognition as it lies behind the eye and is unforgeable. The process of recognition mainly includes pre-processing, feature extraction and then features matching. The features generally used in this process are either blood vessel features or non-blood vessel features. In this paper, different methods available in the literature for retina based person authentication system are described, discussed and compared.
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Papers by jarina mazumdar