An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System

@article{Tavassoli2011AnEP,
  title={An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System},
  author={Sude Tavassoli and Mahboubeh Yaqubi},
  journal={International Journal of Computer Applications},
  year={2011},
  volume={28},
  pages={34-40}
}
  • Sude TavassoliM. Yaqubi
  • Published 31 August 2011
  • Computer Science, Engineering
  • International Journal of Computer Applications
Biometric systems are considered superior in technological developments, because they provide a non� transferable means of identifying people not just cards or badges. The image enhancement step is designed to reduce noise in this area. The key point about an identification method that is "nontransferable" means it cannot be given or lent to another individual so nobody can get around the system they personally have to go through the control point. The image enhancement before feature… 
1 Citations

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References

SHOWING 1-10 OF 36 REFERENCES

Enhancement of Ear Verification System Performance Using a New Hybrid Denoising Approach (ANFIS-FWS)

A new method for increase the performance of an ear verification system, where at first, in a preprocessing step using hybrid denoising method, the noises are removed from ear images and then the next step these enhanced images are used for verification system.

Personal verification using ear and palm-print biometrics

This paper presents a multimodal biometric identification system based on new features extraction of palm and ear that is motivated by a quantitative model of visual cortex, with fusion applied at the matching-score level.

Palm Print Verification System

The palm print acquired from a charge coupled device (CCD) based camera is preprocessed and the edge of the image is obtained and the AND function is used and the verification process is based on whether a person is who he/she claims to be.

Fingerprint Verification System Using Minutiae Extraction Technique

This work has combined many methods to build a minutia extractor and a minutsia matcher, and some novel changes like segmentation using Morphological operations, improved thinning, false minutiae removal methods, minutIA marking with special considering the triple branch counting, and matching in the unified x-y coordinate system after a two-step transformation are used in the work.

A Multi-biometric Verification System for the Privacy Protection of Iris Templates

This paper proposes a multi-biometric system, which allows the extraction of secure identifiers and ensures that the stored information does not compromise the privacy of users’ biometrics and describes an effective construction based on the combination of two iris templates.

A two-pass method to impulse noise reduction from digital images based on neural networks

This paper presents an efficient method in two passes for reduction of impulse noise reduction using ANFIS and ANN and is experimented on some popular grayscale test images and is compared to other methods using subjective and objective measures.

Ear recognition using features inspired by visual cortex and support vector machine technique

It was demonstrated that this method is rotate-and scale-invariant, and also, in experiment, it was found that, using of Gaussian filter in HMAX model in compared to using of Gabor filter, increases performance of ear recognition.

Palm Vein Authentication System: A Review

A review on the palm vein authentication device that uses blood vessel patterns as a personal identifying factor, opinions about the utility of biometric authentication systems, comparison between different techniques and their advantages and disadvantages are outlined.

A fuzzy video pre-filtering method for impulse noise reduction

Experimental results are obtained to indicate real-time operation, pleasant PSNR and splendid video restoration by the proposed approach other than normal spatial methods.

A new method for impulse noise reduction from digital images Based on Adaptive Neuro-Fuzzy System and Fuzzy Wavelet Shrinkage

Impulse noise reduction is one of the important processes in the pre-processing of digital images. Most primitive approaches used neighbour pixel values to replacement of noisy pixels. But these