Biometric Authentication for Mobile Devices

Biometric authentication for mobile devices is a portable identification device that integrates biometrics with devices. Through the GPRS and 4G functions of mobile devices, cloud-based comparison and authentication operations can be achieved;

Biometric Authentication Market Trend

New Era of Intelligent Technology

With the rapid development of articial intelligence,we have entered a new area of intelligent technology. The characteristic is the deep integration of machine intelligence and human intelligence, which promotes innovation and development in various fields of society.

Our new products is a prouct of this era, aimed at improving people’s way of life and work through cutting egde technology.

Innovation in Biometric Technology

Biometric technology, as a secure and efficient way of identity authentication, has experienced rapid development in  recent years. From the initial fingerprint recognition to the current iris, facial, and palm vein recognition,  technological advancements have greatly improved the accuracy and convenience of recognition, bringing  revolutionary changes to various industries

Types of Biometric Authentication

What biometric technologies can be used for comparison and identification on mobile devices? HFSECURITY can basically meet the needs of the market for biometric identification, including iris, fingerprint, face, and palm print, which are in great demand.

Fingerprint Recognition:

Analyzes the unique patterns of ridges and valleys on a person’s fingertip.

Facial Recognition:

Uses the structure of the face, including the distance between eyes, nose, mouth, and jaw edges.

Iris Recognition:

Examines the unique patterns in the colored ring of the eye.

Palm vein recognition

Palm vein recognition, is a biometric identification method that uses near-infrared light to capture the unique patterns in the veins of an individual’s palm

How Biometric Authentication for Mobile Devices Work？

Whether it is iris recognition, fingerprint recognition or facial recognition, the essential logic is registration and comparison. Here we take fingerprint recognition as an example;

Enrollment:

The first step in biometric authentication is enrollment, where the system captures the individual’s biometric data. This could be a fingerprint, facial image,palm vein, or iris pattern.

The captured data is then converted into a digital format and stored in a database or on the device itself as a reference for future comparison.

Capture:

When authentication is required, the system captures the individual’s biometric data anew. For example, a fingerprint scanner reads the fingerprint, or a camera captures an image of the face.

Comparison:

The newly captured biometric data is compared against the stored data from the enrollment phase. This process involves complex algorithms that analyze patterns and features unique to the individual.

The system calculates a match score to determine how closely the new data matches the stored data.

Comparison is divided into local comparison and cloud comparison;

Local comparison:

Local comparison is to store data on the device. Even offline, the comparison can be successful because the data is stored locally. However, local comparison can only be used when the amount of data is relatively small, generally less than 10,000;

Cloud comparison:

Cloud comparison is to store data on the cloud server, find matching data features in the data through the instructions obtained by the device, and send them to the device; the amount of data for cloud comparison is usually large, generally more than 20,000

Decision:

Based on the match score, the system decides whether to grant or deny access. If the score meets or exceeds a predefined threshold, access is granted; otherwise, it is denied.

Biometric applications for use with mobile devices

Admin for Government Officials

Staff working hours checking, to avoid Ghost Worker, government only paid to the one whom really in normal working；

In a government agency, there was a problem with “ghost employees” who were shown as working in the attendance records but did not actually perform their job duties. To eliminate this phenomenon, the government decided to implement a new attendance system to ensure that only those who actually worked could be paid.

Case Background:

Agency Name: Information Technology Department of a Municipal Government

Problem: The department found that part of its salary budget went to some employees who were not actually working, the so-called “ghost employees”.

Solution:

Introducing a biometric attendance system: The government decided to use fingerprint recognition and face recognition technology to record employee attendance. Each employee needs to scan their fingerprint when entering the office to ensure that they are actually present.

1. Real-time data monitoring: Attendance data is uploaded to the central system in real time, and management can check employee attendance at any time.
2. Regular audits: Every quarter, the government will audit attendance records and actual work content to ensure that each employee’s working hours are consistent with their actual contributions.
3. Feedback and adjustments: Through employee feedback and technical adjustments, the user experience of the attendance system is optimized to ensure its fairness and accuracy.

Implementation effect:

After half a year of implementation, the department’s salary expenditure has become more reasonable, employee attendance has increased, and work efficiency has also improved. At the same time, the government has saved unnecessary expenses caused by “ghost employees” and invested the saved funds in employee training and welfare, further improving employee work enthusiasm.

This case shows how to manage and solve the “ghost employee” problem through biometric technology and improve the efficiency and transparency of the public sector.

Refugees Identity management 

With refugee biometric database, Migration Management authorities can monitor statistics and reports at-a-glance, enabling policymakers to make informed decisions.

In the current global migration wave, many countries face the challenge of effectively managing and supporting refugee groups. In order to better manage and support these groups, the immigration management department of a certain country decided to use a biometric database to enhance its management capabilities and help policymakers make more informed decisions.

Case background:

Country: an African country

Problem: Traditional management methods make it difficult to effectively track and support the needs of each refugee, resulting in uneven resource allocation and delayed policy formulation.

Solution:

1. Establish a biometric database: The government works with technology companies to collect fingerprint and facial recognition data for each refugee entering the country to create a comprehensive biometric database. This system can accurately identify each refugee and prevent duplicate registration of identities.

2. Real-time monitoring and statistics: The immigration management department uses this database for real-time data monitoring and generates reports on refugee demographics, distribution and needs. This data helps managers quickly understand the dynamics of the current refugee group.

3. Optimal resource allocation: Through analysis of the database, the government can identify the specific needs of refugees, such as medical care, education and housing, thereby optimizing resource allocation and ensuring that each refugee can get the support they need.

4. Policy making support: Real-time statistics and reports provide policymakers with a reliable information basis, enabling them to formulate more effective policies for refugee management and support. For example, adjusting reception policies based on data, or formulating employment and education plans to help refugees better integrate into society.

Implementation effect:

Through the biometric database, the country’s immigration management efficiency has been significantly improved, resource allocation has become more reasonable, and the living conditions of refugees have also improved. Policymakers are able to make more forward-looking decisions based on real-time data, promoting the harmonious development of society. In addition, this system has also improved the transparency of public services and won the trust and support of all sectors of society.

This case demonstrates the important role of biometric technology in immigration management. Through technical means, the government can more effectively manage the refugee population, formulate more scientific policies, and promote the sustainable development of society.

Handheld mobile biometric identification device

TR101 HFSecurity multi-modal biometrics all-in-one enrollment kit integrates iris, face, ten fingers fingerprint identification, passport identification, two-dimensional code scanning, card reading, printing and other functions, to achieve efficient and accurate identity verification.

TR101’s biometric mobile device appearance design is simple and modern, smooth lines, with a full sense of science and technology can be adjusted LED display, so that the device not only has a sense of fashion, but also accord with the ergonomics of the design, easy for users to operate. The device is stylish and ergonomically designed for user-friendly operation.

The device reduces hardware complexity, combines various biometric functions, improves data processing speed and security, and is suitable for complex and high-security scenarios. It can accurately identify users in complex environments and provide safe and reliable authentication services. It is low-carbon and environmentally friendly, adopting low-power design to reduce energy consumption and resource waste. It is suitable for government agencies, financial institutions, border management and other places.

In addition, TR101 can be customised with a portable carrying case, which is more convenient for users.

bBiometric authentication on mobile devices is a popular trend.

Function

– High-Precision Biometric Algorithm

– Quickly and Accurately Identify

– Multiple Data Encryption Transmission Protocols

– Portable Mobile Device

– Advanced Biometric Technology

Unique Biometric Technology

•Biometric technology identifies  individuals with unique physiological  and behavioral characteristics. 

•Facial and 10 fingers enrollment for  National database. 

•The most advanced artificial  intelligence algorithm accurately and  quickly compares and verifies,  providing secure and reliable identity authentication

Unique Identify Technology

• Global Passport Reader for fast pass, government, immigration, border projects;
• Standard NFC card reader
• Customize national id card reader for e government projects
• Smart Scanners
• Barcode scanner for national id card, voters etc
• Printer for any receipt

Data Encryption Transmission Protocols

PSAM*2

Real time encryption technology during data transmission .

External Connection

• Multiple interfaces for external connection
• Iris scanner
• Document Scanner
• UPS

Biometric authentication on mobile devices has revolutionized security and user convenience by utilizing unique physical characteristics, such as fingerprints and facial recognition, to verify identities. This technology enhances security by providing a robust barrier against unauthorized access, reducing reliance on traditional passwords, which can be easily forgotten or compromised. Moreover, it streamlines the user experience, allowing quick and seamless access to devices and applications. As biometric authentication becomes increasingly sophisticated, it is poised to play a crucial role in safeguarding personal data and enhancing digital interactions in the mobile ecosystem.