Biometric authentication using finger nails

Easwaramoorthy, Sathishkumar; Sophia, Flucker; Prathik, A.

doi:10.1109/icetets.2016.7603054

Cited by 27 publications

(23 citation statements)

References 10 publications

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“…Future work is to add security features in supplying nutrient water supply and find any attack happened using digital forensics methods [22] [23]. Further applying image processing techniques to detect diseases in strawberry growth [24][25] [26].…”

Section: Discussionmentioning

confidence: 99%

Identifying High Significance Input Factors in Strawberry Production using Linear Model

Shin¹,

Rahman²,

Lee³

et al. 2019

IJITEE

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This study is focused on identifying the high significance of input factors in strawberry growth and production using a linear regression model. Greenhouse strawberry cultivation is increasing so fast due to the high demand for strawberry and farmers are also taking different types of technics for greenhouse cultivation to get high productions of strawberry. This study aims to increase the production of strawberries in order to maximize the profits from the cultivation of strawberries and also to fulfill the demand for strawberries. The strawberry data consist of average strawberry productions (AvgSP), electric conductivity (EC), potential of Hydrogen (PH) value, greenhouse inside temperature (Temp), greenhouse inside humidity, CO2 , nutrient solution with water, and supply of water nutrient solution. To find out the relationship among each input factor we use the correlation method and after that based on the correlation we make different types of combination of input factors. In this study, we use the linear regression method to find out the R2 value and significance factors of different combinations of input factors. For the linear regression model we take average strawberry production as output and different combination of input factors as input. In result and discussion, we concluded the high significance input factors in strawberry growth production.

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Section: Discussionmentioning

confidence: 99%

Identifying High Significance Input Factors in Strawberry Production using Linear Model

Shin¹,

Rahman²,

Lee³

et al. 2019

IJITEE

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“…As theorized by some scholars (Kauba et al, 2016;Easwaramoorthy et al, 2016;Eliabeth et al, 2015), a person's handwriting-fingerprint can represent his/her nature. This shows that the permanency of writing and fingerprint style of a person, just like their personality.…”

Section: Individuality Of Twins Multi-biometricmentioning

confidence: 99%

“…Based on these findings, it can be said that even identical twins differ particularly in terms of handwriting and fingerprint, which has been termed 'Individuality of Handwriting-fingerprint' which is assessable using the variances. Here, as suggested by Easwaramoorthy et al (2016), and Eliabeth et al (2015), the value of the person's feature or the intra-class, should be lower than that of different persons or the inter-class. Additionally, features with the least similarity error for one person in a pair of twins (intra-class) and the most similarity error for both individuals in a pair of twins (inter-class) demonstrate the soundness as well as acceptableness of individual features (Patil and Wagh, 2016).…”

Section: Individuality Of Twins Multi-biometricmentioning

confidence: 99%

A Multimodal Biometric System using Global Features for Identical Twins Identification

Mohammed

Shamsuddin

2018

Journal of Computer Science

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Pattern recognition studies are currently focusing on twin's biometric identification. The system of twins' biometric Identification can potentially differentiate the individual's biometric pattern. With the new Unimodal biometric identification, identical twins are precisely and reliably identified, with well exposure of certain traits. However, it is much more challenging to identify identical twins as they share so many similarities between them, as opposed to identifying the non-twins. Therefore, this study proposes the use of more than one biometric trait with global features. Pattern recognition application includes extracting and selecting meaningful features and this has brought to the key question in twin handwriting-fingerprint identification: How to obtain features from many writing styles and shapes of twin handwritingfingerprint in order that the reflection of the right person between twins can be obtained. Global with Aspect United Moment Invariant for the extractions of global feature using the identical twin multi-biometric identification is thus proposed by this study.

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“…Easwaramoorthy et al 8 design a system process to extract features only from the nail plate. Since the edge of the nail plate is not continuous, a pentagonal structure is removed from the nail plate using the semantic points mediation technique, and the textural properties of the region of interest (ROI) and the nail plate are obtained based on this structure.…”

Section: Biometric Authentication Using Fingernailsmentioning

confidence: 99%

“…Sultana et al 7 propose innovative biometric features, including nails, which can be used for biometric authentication. Easwaramoorthy et al 8 design a system process to extract features only from the nail plate, so as to achieve a robust identification effect. In addition to applications in medicine and biometric authentication, nail beauty and make-up in the consumer market is also a great application space.…”

Section: Introductionmentioning

confidence: 99%

Fingernail analysis management system using microscopy sensor and blockchain technology

Lee

Yang

2018

International Journal of Distributed Sensor Networks

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In traditional Chinese medicine, the growth situation of the surface of nails reflects the physiological condition of the human body. Diagnosis by nail can effectively predict and prevent disease. Human nails have a high degree of uniqueness, and it can be used for biometric recognition. In this work, microscope sensor was used to capture the clear image and segment the lunula and nail plate effectively through image preprocessing. Fingernails' image is managed as the identity authentication. Histogram of oriented gradients and local binary patterns are used to capture the characteristic value. It uses support vector machine and random forest tree for classification. The performance of each feature extraction algorithm was analyzed for the two classifiers and the deep neural network algorithm was used comparatively. Furthermore, the security and privacy of the Internet of Things is still a challenge. This work uses the highly anonymous blockchain technology to effectively protect data privacy and manage each user's data through the blockchain, in which any change or manipulation can be recorded and tracked, and the data security is improved. Therefore, this article presents a nail analysis management system with the use of microscopy sensor and blockchain.

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Biometric authentication using finger nails

Cited by 27 publications

References 10 publications

Identifying High Significance Input Factors in Strawberry Production using Linear Model

Identifying High Significance Input Factors in Strawberry Production using Linear Model

A Multimodal Biometric System using Global Features for Identical Twins Identification

Fingernail analysis management system using microscopy sensor and blockchain technology

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