The impact of coding and noise on iris recognition system performance

Gül, Burak Kürşat; Kurnaz, Çetin

doi:10.1109/siu.2016.7496141

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Minutiae points are the prominent ridge characteristic. A good quality fingerprint typically contains about 40 -100 minutiae points [19,20].…”

Section: Step 2 Image Enhancement By Fuzzy Setmentioning

confidence: 99%

The Impact of Temperature on Concrete Strength: Understanding the Effects"

2023

IJPREMS

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In today's world minutia matching is most popular and modern technology for fingerprint matching. If there is enough minutia point in one fingerprint image that are corresponding to other fingerprint image then it is most likely that both image are from same fingerprint. Minutiae are usually matched together by their distance relative to other minutiae around it. If multiple points in one image have similar distances between the multiple points in another image then the points are said to match up. But it is not an easy task to extract minutiae point in fingerprint. Also there may be some false minutiae point that makes the problem more difficult. Image quality is another problem to find the location and type of minutiae point in fingerprint. The quality of the input fingerprint image affects the performance and fingerprint matching methods. The quality of a fingerprint image measured corresponds to the clarity of the ridge structure in the fingerprint image. A fingerprint that contain high contrast and well defined ridges and valleys, are called as good quality image while a poor quality fingerprint is marked by low contrast and ill-defined boundaries between the ridges.

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“…Minutiae points are the prominent ridge characteristic. A good quality fingerprint typically contains about 40 -100 minutiae points [19,20].…”

Section: Step 2 Image Enhancement By Fuzzy Setmentioning

confidence: 99%

The Impact of Temperature on Concrete Strength: Understanding the Effects"

2023

IJPREMS

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“…Galbally et al [11] developed a mechanism that not only for iris authentication but also used for immediate liveliness detection of the iris. Burak et al [12] identified a biometric recognition approach in which the performance greatly depends on coding bits and noise level. Daugman et al [13] used the Gaussian filter for segmentation of an iris image.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography

Rajasekar¹,

Premalatha²,

Sathya

2020

Wireless Communications and Mobile Computing

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Biometrics combined with cryptography can be employed to solve the conceptual and factual identity frauds in digital authentication. Biometric traits are proven to provide enhanced security for detecting crimes because of its interesting features such as accuracy, stability, and uniqueness. Although diverse techniques have been raised to address this objective, limitations such as higher computational time, minimal accuracy, and maximum recognition time remain. To overcome these challenges, an enhanced iris recognition approach has been proposed based on hyperelliptic curve cryptography (HECC). The proposed study uses the 2D Gabor filter approach for perfect feature extraction in iris preprocessing. A lightweight cryptographic scheme called HECC was employed to encrypt the iris template to avoid intentional attack by the intruders. The benchmark CASIA Iris V-4 and IITD iris datasets were used in the proposed approach for experimental analysis. The result analysis witnessed that the prime objective of the research such as lesser false acceptance rate, lesser false rejection rate, maximum accuracy of 99.74%, maximum true acceptance rate of 100%, and minimal recognition time of 3 seconds has been achieved. Also, it has been identified that the proposed study outperforms other existing well-known techniques.

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The impact of coding and noise on iris recognition system performance

Cited by 2 publications

References 2 publications

The Impact of Temperature on Concrete Strength: Understanding the Effects"

The Impact of Temperature on Concrete Strength: Understanding the Effects"

Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography

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