An Effective Approach for Iris Recognition Using Phase-Based Image Matching

By Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi, Hiroshi Nakajima. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008

316 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Molecular Biology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d7be635a2087f3192e2e789ac0e13f9ab7d42a13

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Arun A. Ross

In Signal Processing

1. Arun A. Ross
2. Sridha Sridharan
3. Clinton Fookes
4. Kien Nguyen
5. Anil K. Jain
6. Karthik Nandakumar
7. Xiaoyang Tan

Citations in the corpus

• Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective (2018, methodology): “…have also proposed a wide range of other descriptors for iris based on Discrete Cosine Transforms (DCT) [10], Discrete Fourier Transforms (DFT) [11], ordinal measures [12], class-specific weight maps [13], compressive sensing and sparse coding [14], hierarchical visual code-books [15],…”