Corpus ID: 237571551

Human Recognition based on Retinal Bifurcations and Modified Correlation Function

@article{Dehghani2021HumanRB,
  title={Human Recognition based on Retinal Bifurcations and Modified Correlation Function},
  author={Amin Dehghani},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.08977}
}
  • A. Dehghani
  • Published 18 September 2021
  • Computer Science, Engineering
  • ArXiv
Nowadays high security is an important issue for most of the secure places and recent advances increase the needs of high-security systems. Therefore, needs to high security for controlling and permitting the allowable people to enter the high secure places, increases and extends the use of conventional recognition methods. Therefore, a novel identification method using retinal images is proposed in this paper. For this purpose, new mathematical functions are applied on corners and bifurcations… Expand

Figures and Tables from this paper

References

SHOWING 1-10 OF 19 REFERENCES
Human recognition based on retinal images and using new similarity function
TLDR
Experimental results on a database, including 480 retinal images obtained from 40 subjects of DRIVE dataset and 40 subjects from STARE dataset, demonstrated an average true recognition accuracy rate equal to 100% for the proposed method. Expand
Wavelet based retinal recognition
TLDR
A novel retina feature, named wavelet energy feature (WEF) is defined in this paper, employing wavelet, which is a powerful tool of multi-resolution analysis, which can reflect theWavelet energy distribution of the vessels with different thickness and width in several directions at different wavelet decomposition levels (scales), so its ability to discriminate retinas is very strong. Expand
Rotation invariant retina identification based on the sketch of vessels using angular partitioning
TLDR
Experimental results on a database, including 360 retina images obtained from 40 subjects, demonstrated an average true identification accuracy rate equal to 98 percent for the proposed system. Expand
Identity verification based on vessel matching from fundus images
TLDR
A novel method for retina verification based on minutiae features is proposed that achieves a low false rejection ratio (FRR) even when the retinal area overlap is as low as 25% of the total area. Expand
A Novel Retinal Identification System
TLDR
A novel biometric identification system with high performance based on the features obtained from human retinal images, composed of three principal modules including blood vessel segmentation, feature generation, and feature matching. Expand
Retinal Verification Using a Feature Points-Based Biometric Pattern
TLDR
An efficient method for persons authentication is showed, a deep analysis of similarity metrics performance is presented and a set of feature points representing landmarks in the retinal vessel tree of the biometric system is described. Expand
Optic disc localization in retinal images using histogram matching
  • A. Dehghani
  • Computer Science
  • EURASIP J. Image Video Process.
  • 2012
TLDR
This article uses optic disc of the first four retinal images in DRIVE dataset to extract the histograms of each color component as template for localizing the center of optic disc. Expand
Ridge-based vessel segmentation in color images of the retina
TLDR
A method is presented for automated segmentation of vessels in two-dimensional color images of the retina based on extraction of image ridges, which coincide approximately with vessel centerlines, which is compared with two recently published rule-based methods. Expand
The blood vessel recognition of ocular fundus
TLDR
The recognition for blood vessel optic fundus blood vessel recognition has been demonstrated to possess high recognition rate, low recognition rejection rate as well as good universality, exclusiveness and stability. Expand
Localization of the optic disc center in retinal images based on the Harris corner detector
TLDR
A robust and fast algorithm based on Harris corner detector for localizing the center of optic disc in retinal images based on corners and bifurcations obtained usingHarris corner detector is proposed. Expand
...
1
2
...