Development a New Algorithm for Iris Biometric Recognition

@article{Hentati2012DevelopmentAN,
  title={Development a New Algorithm for Iris Biometric Recognition},
  author={Raida Hentati and Manel Hentati and Mohamed Abid},
  journal={International Journal of Computer and Communication Engineering},
  year={2012},
  pages={283-286}
}
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17 Citations
Background Citations
9
Methods Citations
3

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17 Citations

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Hierarchical Convolutional Neural Network based Iris Segmentation and Recognition System for Biometric Authentication

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SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression

A novel deep learning framework called SIP-SegNet is presented, which performs the joint semantic segmentation of ocular traits (sclera, iris and pupil) in unconstrained scenarios with greater accuracy and extracts the periocular information using adaptive thresholding and employs the fuzzy filtering technique to suppress this information.

The Implementation of an Intelligent Algorithm Hybrid Biometric Identification for the Exemplary Hardware Platforms

The paper presents the implementation of an intelligent algorithm hybrid biometric identification with the use of VistaFA2, IriTech and Futronic scanners that helps to increase the reliability of identification systems and reduces the risk of counterfeits and intrusion into restricted access resources.

A multi-biometric iris recognition system based on a deep learning approach

An efficient and real-time multimodal biometric system is proposed based on building deep learning representations for images of both the right and left irises of a person, and fusing the results obtained using a ranking-level fusion method.

Iris Normalization using Circular Masking

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