Aadhaar Database Research Articles

A Web Portal for Tracking and Finding Missing Person Using Aadhaar Enabled Biometrics

The Aadhaar-Enabled Biometric Web Portal for Finding Missing Persons research aims to address the critical issue of locating missing individuals by leveraging Aadhaar-enabled biometric data. With the widespread adoption of Aadhaar cards in India, this research uses the unique biometric information linked to Aadhaar cards to create a web portal. Through this portal, users can input relevant biometric data, such as fingerprints or iris scans, which are then compared with the Aadhaar database. The system utilizes advanced biometric matching algorithms to accurately identify potential matches, thereby aiding law enforcement agencies and concerned individuals in locating missing persons efficiently. By integrating Aadhaar-enabled biometrics into a user-friendly web interface, this research facilitates swift and accurate identification, offering a valuable tool in the effort to reunite missing individuals with their families and loved ones.

Representing the adarsh biometric balak or the ideal biometric child: locating poor children’s care work in the Aadhaar welfare state

ABSTRACT This article spotlights the role of children from poor, underprivileged families who are drawn into care work to facilitate inclusion for their families in food security by performing fingerprint authentication. Owing to the youthful suppleness of their bodies, children’s fingerprints are more likely to succeed in fulfilling biometric requirements. They are also more compliant in having their schooling or playtime disrupted by the unpredictable and time-consuming biometric authentication process. Children’s names may also be added on ration cards to facilitate food security for relatives other than their parents who depend on the biometric viability of children’s bodies and time for welfare. Supplementing ethnographic data with the state’s data of the biometric authentications recorded in the Aadhaar database of India, I make visible the poor child as an ‘ideal biometric child’ in enabling the biometric assemblage of the welfare state to care for its citizens.

Third Eye: Forensic Face Sketch and Fingerprint Recognition

In Forensic science, Face sketches are time consuming and are very limited to identify subjects. In this paper ,we will present an interface which will allow users to create a face sketch of the suspects or they can insert and verify their hand drawn forensic face sketch. After the construction of face sketch, it can automatically match with the faces in the database. Fingerprint of suspects is also verified in database. By using the face and fingerprint recognition we can retrieve the details of the suspects from aadhaar database. We can easily identify the suspect with the help of the aadhaar details from aadhaar database. Biometric Recognition is necessary for safety and security

“Governtrepreneurism” for good governance: The case of Aadhaar and the India Stack

In many of the ex‐colonies of European empires, biometric technology systems are being built under an ethos of welfare and financial service delivery. One case in this broader trend of postcolonial governance is India's Aadhaar and India Stack. This paper uses this case to explore how the in‐sourcing of technology into means of governing, behind a front of participatory “good governance,” is contributing to the historical trajectory of citizenship regimes in India. Through claims of reducing financial “leakages,” Aadhaar, a biometric identification database consisting of fingerprint, iris scan, and photograph, has become compulsory for accessing welfare in India. The Indian government makes a case for Aadhaar using a propaganda discourse of its success, based on weak evidence. The India Stack, a set of cloud‐based application programming interfaces (APIs) built on top of the Aadhaar database, offers a digital infrastructure for private companies to verify identities using Aadhaar data and to offer other “services” including “financial services.” The ability to access data, paired with a “revolving door” of individuals between state and corporations, points to an ulterior goal of both Aadhaar and the India Stack: creating winners in the corporate and financial technology sectors. The Indian corporate‐state run through a “governtrepreneurism” uses Aadhaar and the India Stack as new digital technologies of governmentality to transform populations into subjects or customers.

A Multimodal Biometrics for Aadhaar Based Secured E-Voting System

False polling is still a significant issue in elections in the latest moments. In this job, an effort is made to fix this issue using current Aadhaar card database and electoral biometrics. This scheme authenticates electors by combining multimodal biometrics such as picture, eye, and palm printing, after which registration is verified by verifying the age that enables only qualified applicants to register. The time needed for authentication is decreased by using the corresponding Aadhaar amount and multimodal biometrics. This is authentication will be achieved by inspecting whether the registered Aadhaar amount and multimodal biometrics match or not without linking it with the entire biometric database to boost authentication pace. The polling of ballots will be performed automatically so that space is decreased and results can be announced in less moment. The improvisations strive to increase the system's safety, efficiency, efficiency, scalability. This suggested a safe internet e-voting system (EVS) that utilizes as its backend UIDAI or Aadhaar database. In this job, the entry pictures are originally preprocessed and the removal of features is achieved using Improved Gabor filters. Enhanced Support Vector Machine Algorithm (eSVM) is used to match and classify features development of this scheme will render the polling method more comfortable and can, therefore, contribute to enhanced turn-out. Using this multimodal biometric system for voting purposes, election rigging was easily avoided.

Encryption and Decryption of data using Elliptical Curve Cryptography

Aadhaar database is the world's largest biometric database system. The security of Aadhaar database plays a major role. In order to secure such huge database, an encryption and decryption algorithm has been proposed in this paper. Elliptic Curve Cryp

Blockchain Based Aadhaar Security

A blockchain is a decentralized, disseminated and digital ledger that can’t be altered retroactively without modifying every single blocks and the consensus of the network. Blockchain can be used in smart contracts, Banks, IoT devices, Database management, etc., Due to recent times flaws and leakage of Aadhaar information (Aadhaar which is the largest government databases of the Indian citizens) in Internet the security and privacy of Aadhaar became questionable. In order to ensure the security of Aadhaar, Blockchain has the potential to overcome security and privacy challenges in Aadhaar. In this project we are going to create a Blockchain for Aadhaar database and implement light weight algorithm for efficiency, optimization and scalability along with the Blockchain securing algorithm.

Implementation of electronic voting system using aadhaar

The present voting system in India is a time consuming process and not so secured. Our project proposes and implements a simple and secured method of polling vote using aadhaar information. Over a period of time there have been many improvisations in the field of voting which aim at increasing the flexibility, reliability, security, scalability and less time consumption to announce the results. In this system the user has to use his finger print to poll the vote.The fingerprints available in the aadhaar database are used for the candidature verification, which will be stored in the computer through which the further process is carried out. The voter need not carry his/her voter ID to the polling booth. A finger print module is used for accessing fingerprints. Once the user gives the finger print it will be compared with the existing data and if it is a genuine user it will be verified else the user is barred from voting and also if a user attempts to vote for the second time it will not be allowed. Once the voting process is finished the authoritative officer accesses the results immediately using a unique PIN provided to him.

An eye for an I: recording biometrics and reconsidering identity in postcolonial India

In 2009, the Government of India embarked on a mission to issue each of India’s over one billion residents a unique biometric identification number, Aadhaar (literally, ‘foundation’). An Aadhaar database would link the demographic and biometric information (iris scans, fingerprints, facial photograph) of residents to a 12-digit number. India currently commands the world’s largest biometric database. While Aadhaar does not guarantee citizenship, benefits, or services, its architects submit that its reliable, real-time identity verification infrastructure potentially allows for the targeted delivery of any good to its intended recipient. Aadhaar is fashioned as an ID concerned with a pristine bodily uniqueness untarnished by the social, political, or economic. Aadhaar frequently provokes the questions: Who is the recipient of Aadhaar and to what community does Aadhaar afford membership? Based on ethnographic fieldwork in India’s capital, New Delhi, this article examines how Aadhaar comes to inform ideas of identity and belonging held by its implementers, as well as the population it targets.