De-duplication of passports using Aadhaar

Prathilothamai, M.; Nair, Priyanka Sunil

doi:10.1109/iccci.2017.8117744

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…It should be noted that despite the length of time for NIN registration, Nigerians have not been fully captured implying that Nigerians needs to come to terms in identifying the role this technological tool stands to play in the growth of the country. Prathilothamai and Priyanka (2017) worked on the unique identification scheme of India called Aadhaar, handled by the Unique Identification Authority of India (UIDAI). Every person above the age of 5 years must register their demographic details (Name, Date of Birth, Address and Phone number) and biometric details (10 fingerprints and both iris) and then these details are used for authentication.…”

Section: Identity Managementmentioning

confidence: 99%

Biometrics Application: A Critical Review

Sholanke

2023

JTS

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Purpose: This study was carried out to review the rate of biometrics adoption in various arms within Nigeria. Some of the sectional offices of governmental and private organizations were visited during this work. Methodology: The methods used involves interview of personnel’s in the parastatals, review of literature works and observations. Findings: The findings show that there has been technological advancement in Nigeria with biometrics introduction in some sectors. The work contributed to existing literature on biometrics by conducting a review to determine the rate at which biometric technology have been adopted in Nigeria. Unique contributions to theory, policy and practice: This will help government in making positive decisions leading to the growth and technological advancement of the country.

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Section: Identity Managementmentioning

confidence: 99%

Biometrics Application: A Critical Review

Sholanke

2023

JTS

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Melanoma Detection Using HSV with SVM Classifier and De-duplication Technique to Increase Efficiency

Patil

Dongre

2020

Communications in Computer and Information Science

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Around one third of all recorded cancers account worldwide for skin cancer, according to the World Health Organization. Every year in the USA there are over 5 million non-melanoma, although about 13,000 cases of melanoma are reported in the UK and Australia. Over the last few decades, occurrences of skin cancer have also risen by 119%, from 1990 to 91270, from 27,600 in 2018. Melanoma has risen 119 million in nations such as the United Kingdom. Not only has the ozone layer reduced ultraviolet radiation safety but the misuse of the atmosphere and heat and tanning [ 2 ] has explained this trend. The medical fraternity has spent enormous time and energy on sensitizing people by awareness initiatives. Human skin cancer is the most dangerous variety, with its effects growing rapidly. Early detection of melanoma in dermoscopic photos is extremely important as they are useful for early diagnosis and treatment of ailment. Computer-aided diagnostic tools may promote the detection of cancer early for dermatologists. In this method pre-processing shall take place by applying a list of filters for removing hair, spots and assorted noises from pictures and the methodology of photographs painting shall then be used to fill unspecified areas. In this paper system uses PH2 dataset for evaluation. Also proposed de-duplication method will help in image preprocessing time which will also help in detection of melanoma. KNN, Naïve Bayes and SVM classifier are used for training and testing purpose also SVM shows the highest accuracy of classifier with de-duplication techniques.

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