Enhanced Iris Recognition based on Image Match and Hamming Distance

Gao, Xueshan; Sumin, Feng; Cui, Han

doi:10.21307/ijssis-2017-797

Cited by 4 publications

(4 citation statements)

References 28 publications

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“…The iris on its side is a flat and ring-shaped membrane, it contains pigments that provide color to the eyes, and is composed of connective tissue cells with muscle fibers that control the size of the pupil [5]. In addition, the iris develops from the formation of the fetus, and has the peculiarity of shrinking the pupil if there is too much light and expanding it if there is not enough, a function controlled by the brain [6].…”

Section: Introductionmentioning

confidence: 99%

“…The advantage of the iris is that due to its anatomical structure it varies between each individual, making it difficult to falsify it. That is the importance as a biometric authentication method, using pattern recognition based on images of the iris of the eye [5]. In addition, with the support of sophisticated camera systems and computer-aided image processing, they capture high-quality samples that are converted and stored as digital templates.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, with the support of sophisticated camera systems and computer-aided image processing, they capture high-quality samples that are converted and stored as digital templates. With its objective characteristics that have greater precision, reliability and high efficiency in the results [5].…”

Section: Introductionmentioning

confidence: 99%

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Early Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method

Hernández¹,

Vega²,

Tapia³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related to certain alterations that occur in the iris such as Alzheimer's, in this way generate an alternative method for the early detection of Alzheimer's based on iridology and based on the digital processing of images. Addressing this problem, a systematic literature review was carried out to evaluate the characteristics of the iris, which allow to establish criteria to determine if a person could have a problem associated with Alzheimer's. With all this, the prototype is evaluated with an image data of N individuals who have and do not have such a clinical picture. In addition, within the evaluation is considered the extraction of several parameters that allow detecting anomalies in the iris, at the same time the best range of approximation in the pixelated will be analyzed, for the location of the brain area in the iris applying Newton's interpolation, which will allow the modeling of a function that meets the best approximation criteria. The criteria for evaluation are presented in terms of precision, sensitivity and predictive capacity, with which the behavior of the characteristics and the impact that is generated on the performance of the proposed system can be understood. Also for a technical support the algorithm was exposed to an evaluation of results estimation and this process generated an adequate radius for the correct extraction of the segment of the iris, where the whole study will be carried out to determine and validate whether the person has Alzheimer's or not.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Early Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method

Hernández¹,

Vega²,

Tapia³

et al. 2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

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“…Biometric is a technique used to identify the individuals with respect to their behavioural and physiological characteristics of human being to provide highly secure identification and personal authentication solutions. Xiaoxing et al (2015) and Wang and Liu (2014) implemented biometric algorithms for iris and face recognition to recognize the human being personality that are unique to each human. Palmprint is one of the powerful biometric which contains rich texture information and stable line features.…”

mentioning

confidence: 99%

Multi-algorithmic Palmprint Authentication System Based on Score Level Fusion

Murukesh¹,

Elango²

2018

International Journal on Smart Sensing and Intelligent Systems

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Fusion of multiple algorithms utilizes as much information as possible from each algorithm for enhancing the performance of the biometric authentication system. It is a big challenge to formulate a single algorithm for any biometric authentication system to addresses the problem of illumination, orientations and pose variations. The palmprint features are extracted using two feature extraction algorithms namely contourlet transform with principal component analysis and dual-tree complex wavelet transform. The match scores obtained from matching modules were normalized using z-score and fused with different score level fusion schemes namely sum-rule, weighted sum-rule, and Support Vector Machine (SVM) fusion, respectively. The experimental results show that SVM score level fusion lead to an increased performance for the proposed multialgorithmic palmprint authentication system with genuine acceptance rate of 98% for 0.1% false acceptance rate, and equal error rate of 1.5% compared to weighted sum-rule and sum-rule fusion schemes.

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