CLOUD BASED UNIQUE ONLINE POLICE FIR REGISTRATION AND PASSPORT VERIFICATION SYSTEM USING FINGERPRINT

International Research Journal of Engineering and Technology (IRJET)

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CLOUD BASED UNIQUE ONLINE POLICE FIR REGISTRATION AND PASSPORT VERIFICATION SYSTEM USING FINGERPRINT AUTHENTICATION. Sejal Pawar1, Sumaiyya Shaikh2, Shreya Patil3, Prof. Dr.K.P. Paradeshi4 1234Research Scholar, Dept. of Electronics & Computer Science Engineering, Padmabhooshan Vasantraodada

Patil Institute of Technology, Budhgaon, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract: - In the era of digital transformation, the integration of biometric fingerprint authentication with cloud computing is revolutionizing public service delivery, particularly in the fields of law enforcement and identity verification. This research presents a cloudbased system designed to facilitate the online registration of First Information Reports (FIRs) and streamline passport verification using fingerprint biometrics. The proposed system enables citizens to securely authenticate their identities and file FIRs remotely, thereby minimizing the need for physical visits to police stations and reducing the risk of fraudulent entries. Additionally, it incorporates fingerprint-based verification into the passport issuance process, allowing for accurate and real-time criminal background checks through a centralized cloud database. The use of Automated Fingerprint Identification Systems (AFIS) significantly enhances the speed and accuracy of individual identification. The platform ensures high availability, robust security, and seamless accessibility for authorized personnel across various locations.

Furthermore, this study addresses key challenges related to data privacy, system interoperability, and scalability.

The proposed solution promotes greater transparency, operational efficiency, and public trust in safety and identity verification systems.

Keywords— Registration, AFIS.

The widespread deployment of Automated Fingerprint Identification Systems (AFIS) has notably improved the speed and accuracy of matching biometric data against large-scale criminal databases. This has strengthened the capacity of investigative agencies across various legal and security sectors, reinforcing their ability to manage complex identification tasks efficiently.

Despite these technological advancements, numerous public service mechanisms—particularly in developing and underresourced areas—still depend on manual, paper- based processes. These outdated methods often lead to operational inefficiencies, inconsistencies in data handling, and susceptibility to human error. Key public services, such as lodging a First Information Report (FIR) or undergoing passport verification, generally necessitate in-person attendance at government offices. Such requirements not only cause delays and limit accessibility—especially for residents in remote or rural regions—but also expose the system to potential fraud due to weak or absent identity verification protocols.

This study presents an innovative approach aimed at addressing these limitations by designing and implementing a cloud-based digital system for FIR registration and passport verification secured through fingerprint biometric authentication. The primary objective of the proposed solution is to enable citizens to file FIRs remotely via a secure web interface, thereby eliminating the need for physical presence at police stations. To ensure authenticity, fingerprint scanning is employed as a reliable method of user authentication, significantly reducing the likelihood of impersonation or submission of false reports. In conjunction with FIR registration, the same fingerprint data is utilized during the passport verification phase. This allows the system to cross-reference an individual's biometric data with centralized law enforcement records, facilitating accurate and timely background checks before passport issuance. The use of a unified fingerprint database ensures that both police and immigration authorities can access synchronized, real-time information across geographically distributed locations.

Biometric Authentication, FIR Passport Verification, Cloud Computing,

1.INTRODUCTION The evolution of biometric technologies, particularly fingerprint recognition systems, has significantly transformed the operations of law enforcement and forensic services. Due to their inherent uniqueness and lifelong consistency, fingerprint biometrics have become a foundational element in modern criminal identification practices. When integrated with digital infrastructures, these systems enable precise and rapid individual recognition—leading to faster case resolutions, more effective identification of repeat offenders, and enhanced tracking of unidentified suspects.

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By leveraging cloud computing, the platform supports a centralized and scalable architecture capable of handling large volumes of sensitive data with high availability, resilience, and robust security protocols. The integration of fingerprint biometrics with cloud-based infrastructure not only streamlines operational workflows but also strengthens system transparency, accountability, and traceability.

Further developments in matching algorithms are examined in [5], where improved fingerprint identification is achieved through image enhancement, feature extraction, and pattern recognition techniques. These strategies are particularly effective in handling poor- quality fingerprint images. In [6], an advanced biometric verification system is proposed, focusing on reducing human error and increasing verification accuracy in forensic operations.

This research contributes a practical framework for enhancing the efficiency and credibility of essential government services. The proposed model fosters greater public trust and establishes a foundation for more secure, transparent, and citizen-centric public safety and identity verification systems. Through this unified digital infrastructure, the project aims to bridge systemic gaps and promote improved interaction between citizens and state institutions—thereby advancing the overall effectiveness of law enforcement and immigration processes.

A noteworthy contribution in [7] applies convolutional neural networks (CNNs) to fingerprint recognition, achieving a high accuracy rate of 97% in forensic identification and crime prediction. This system incorporates secure cloud storage and liveness detection, with future enhancements aimed at supporting multimodal biometric authentication. An Internet of Things (IoT)-based crime record management solution is introduced in [8], which digitizes FIR submission and secures access through fingerprint authentication. This system also employs cloud- based storage for real-time record retrieval, reducing the time required for handling criminal cases.

2. Literature Survey

The approach in [9] centers around a computerized crime file management system designed to enhance efficiency in FIR handling and criminal data maintenance. Planned future enhancements include the integration of fingerprint authentication. In a related study, [10] proposes a three-tier web-based biometric system using HTML, PHP, and XAMPP, which improves the security and accuracy of crime record management.

Fingerprint biometric systems have increasingly emerged as vital tools in law enforcement, offering enhanced capabilities for criminal record management and suspect identification. Various methodologies have been proposed and implemented to improve the accuracy, reliability, and efficiency of these systems, particularly in crime investigation and public safety infrastructures.

A centralized model for criminal record coordination is described in [11], enabling structured interaction among stakeholders such as police departments and judicial bodies.

The model simplifies the management of records through centralized processing. In [12], a secure and scalable fingerprint verification system is built using HTML, JavaScript, and PHP. This solution, tested in a local environment, demonstrates potential for deployment in realtime law enforcement applications.

In the work presented by [1], a fingerprint-based verification system developed for the Nigerian Police Force aims to modernize criminal record handling. Built using Apache, PHP, and Java technologies, the system provides secure data storage and facilitates accurate suspect identification, thereby automating traditional manual processes and improving investigative efficiency.

Similarly, [2] introduces the concept of an Automated Fingerprint Identification System (AFIS), which significantly accelerates and simplifies the identification process. By utilizing contactless scanning and advanced matching algorithms, AFIS offers high-speed, non-intrusive recognition across large-scale databases.

Collaborative data sharing through fingerprint biometrics is the focus of [13], where the authors highlight improved data accuracy and inter-agency coordination. A multimodal biometric framework integrating fingerprint, facial, palm vein, and iris recognition technologies is presented in [14], developed using Visual C# and MySQL, with the goal of achieving robust suspect identification under varying conditions.

A broad overview presented in [3] outlines the benefits and limitations of fingerprint-based biometric systems.

Challenges such as spoofing attacks and image degradation over time are addressed, with the authors recommending the implementation of liveness detection and encryption techniques to bolster system security. The study in [4] proposes a cost-effective fingerprint-based crime investigation platform that enhances the recognition of low-quality prints using binarization, segmentation, and Fast Fourier Transform (FFT) methods.

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The system discussed in [15] adopts a Rapid Application Development (RAD) model for anonymous crime reporting and real-time communication with police authorities. This approach emphasizes user engagement and fast iterative development. An online FIR filing platform is proposed in [16], featuring automatic routing, attachment of photographic evidence, and real-time tracking, developed using Java, MySQL, and JSP.

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design effectively leverages biometric security in combination with wireless IoT communication to provide real-time, remote operability and monitoring.

A more comprehensive solution is offered in [17] through the Crime Management System (CMS), which integrates multilingual support and a user-friendly interface for centralized handling of complaints, criminal profiles, and case histories. Finally, the study in [18]

The compact, low-power configuration of the hardware, along with its internet connectivity, makes it suitable for deployment in field applications where centralized access and real-time decision-making are required.

explores a crime detection and prevention system that utilizes data mining algorithms and AES encryption. The platform includes features such as women’s safety alerts and crime hotspot prediction, providing a forwardlooking perspective on proactive crime prevention.

The methodology adopted in this project is based on modular design principles and agile development practices, aiming to create a secure, scalable, and user- friendly system for FIR registration and passport verification using biometric authentication. The process begins with an authorized administrator or head officer who holds elevated access rights to configure system parameters, initiate case entries, and monitor biometric verification results. This is particularly important when cross-referencing with centralized criminal databases to validate applicants. If no criminal history is detected, the system permits continuation of the application process; however, if a match is found, the process is halted and legal authorities are alerted.

Technologically, the system is implemented using a full-stack architecture. The frontend is built with React and TypeScript for robust, maintainable interfaces, styled with Tailwind CSS to ensure responsive design, and developed using Vite for faster builds and hot module replacement. The backend is powered by Node.js and Express.js, which handle server-side logic and API routing, while PostgreSQL serves as the relational database storing encrypted records including user data, biometric information, FIR logs, and system activity. For biometric capture, the R307 fingerprint sensor is integrated with a NodeMCU ESP8266 microcontroller, mounted on a custom PCB and enclosed in a durable casing for real-world deployment. The system captures both fingerprint and facial data, ensuring dual-layer authentication—fingerprints offer tamper-proof identification, while facial recognition prevents impersonation. This dual-modal approach not only enhances security but also reduces false acceptance and rejection rates. The hardware setup has been rigorously tested under varying environmental conditions to ensure operational stability and accuracy. For new users, biometric and personal information is securely registered; for returning users, live biometric data is matched with stored templates to authenticate identity. All data is encrypted and stored in a cloud- hosted PostgreSQL database, allowing high availability, scalability, and real-time access for authorized personnel across locations. The platform supports dynamic record updates, which are revalidated and stored upon modification. A built-in data analysis phase scans records to detect potential matches or patterns, particularly useful for identifying repeat offenders or links between cases.

Security is reinforced through Role-Based Access Control (RBAC), where different user roles such as

3. METHODOLOGY & IMPLEMENTATION The hardware implementation of this system is based on an IoT-enabled biometric authentication architecture, centered around the ESP8266 Wi-Fi module and the R307 fingerprint sensor. The setup begins with a regulated power supply that delivers the required voltage, typically 3.3V or 5V, to power both the microcontroller and the fingerprint module.

Fig -1: Block diagram of components mounted on PCB The ESP8266 serves as the central processing and communication unit, responsible for managing data exchange between the biometric sensor and an external terminal or server over a wireless network. The R307 fingerprint sensor performs the core biometric function of acquiring fingerprint images and comparing them against pre-stored templates in its internal memory to determine a match. Communication between the ESP8266 and the fingerprint module is carried out via serial UART protocol, allowing the microcontroller to receive match results in real time. Once the authentication result is obtained, the ESP8266 transmits this data wirelessly to a connected endpoint such as a web server, cloud database, or desktop application. The receiving terminal then logs, displays, or further processes the data, enabling use cases such as access control, attendance monitoring, or integration with criminal identification systems. This

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Fig -2: Workflow Diagram of Passport Verification and FIR Registration Process Using Biometric Authentication constables and PSIs are assigned permissions according to their responsibilities. Additional safeguards include real-time form validation, input sanitization, encrypted API communication, and compliance with data protection standards. The system is deployed on cloud platforms such as Firebase or Vercel, offering disaster recovery, synchronization, and scalability. In essence, this methodology provides a technologically robust and practical solution for enhancing public safety workflows by enabling secure biometric verification, efficient data management, and improved coordination across law enforcement units.

.

The software flowchart outlines the operational design of a biometric-based criminal registration and verification system, aimed at streamlining both the registration of criminal records and the verification process for passport issuance. The system provides two distinct user roles: Admin Login for constables and Reader View Login for higher authorities such as PSI or Head officers. Upon starting, users are directed to a dashboard where they select their access level. In the Admin flow, constables can register new criminal information by capturing fingerprints and entering personal details. If the fingerprint is successfully captured, the user can proceed to edit, delete, or add criminal data through a controlled interface. After updating the database, records are saved and validated to ensure successful registration. The records can then be managed or modified through the system's management interface. On the other hand, the Reader View flow is primarily used for verification purposes. A fingerprint scan is performed, and if successfully collected, the system checks for a match in the criminal database. If a match is found, the passport is issued. If not, the passport is denied, and the registration process is initiated for new data entry. The newly captured data is saved and displayed in a structured format for record management. Both flows conclude with a logout operation, ensuring secure session termination. This role-based, fingerprint-driven system enhances data integrity, improves user accountability, and supports secure decision-making in both criminal registration and identity verification processes

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Fig -3: Role-Based System Workflow for Admin and Reader Views in FIR and Passport Verification Process.

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3. RESULTS The following images showcase the practical implementation and working interface of our CloudBased Unique Online Police FIR Registration and Passport Verification System using Fingerprint Authentication. Each interface has been designed to fulfill a specific functionality, ensuring a seamless and secure workflow for the police and verification departments.

Fig -6: Page of FIR System.

The "Check Fingerprint" button at the center initiates the scanning of a person’s fingerprint using a biometric device.

Once scanned, the system automatically compares the fingerprint with those stored in the criminal database to identify the individual and retrieve their record if a match is found. The left panel features a "Match Fingerprint" option that allows users, such as police officers, to manually verify fingerprints against existing data. The "Register Criminal" option at the top indicates that the system also supports registering new suspects, helping to maintain accurate records and quickly identify repeat offenders.

Fig -4: Admin/Constable Login Page of FIR System This login interface is exclusively designed for Admins and Constables who possess authorized credentials to access the FIR System. Only users with a valid username and password can log in, ensuring secure entry into the platform.

Fig -5: Search Page of FIR System.

Fig -7: Register Criminal Fingerprint Page of FIR System.

The system includes an input field for entering a 12digit Aadhaar number, which serves as a unique ID to search for an individual’s criminal record. Aadhaar is issued to Indian residents and acts as the main identifier in this process. After entering the number, clicking the green “Search” button retrieves any linked criminal records by accessing the backend database. The interface also offers options to manage records. The “Register a New Criminal” feature allows users to add a new entry to the criminal database. The “Register Without Fingerprint” option is useful when biometric data is unavailable, such as in cases of unclear fingerprints or a faulty scanner. These options enhance the system’s usability and adaptability.

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The "Register Criminal & Fingerprint" page is designed for law enforcement to input and store a criminal's personal and biometric information. It includes fields for the individual's full name, a description of their crime (such as theft or robbery), and their 12-digit Aadhaar number to ensure proper identity linkage. The interface provides two main functions: "Scan Fingerprint" to capture biometric data using a fingerprint scanner, and "Register Criminal" to save all entered information into the criminal database for future reference and identification.

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departments across the country to access and update criminal records in real time, promoting transparency, faster response, and better coordination among authorities. This system simplifies the FIR registration process for citizens while enhancing accountability within the police department. It also streamlines passport verification by enabling rapid background checks using fingerprint data, saving time and reducing manual workload. Overall, the project demonstrates how the use of biometric and cloud technologies can strengthen national security, improve public service delivery, and support the broader vision of a digitally empowered India.

Fig -8: Successful Registration Alert

7. REFERENCES

This image illustrates a confirmation alert that appears after a case is successfully submitted in the system. The form includes fields such as Case Number, Case Description, Date of Incident, and Place of Crime.

After filling out the information and submitting the form, a "Submitting..." message is displayed, followed by a success alert pop-up on the right, confirming that the case has been recorded in the system.

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Fig -9: Register Criminal Fingerprint Page of FIR System.

The figure displays the Criminal Profile Overview page of an individual, showing her photo, basic details, and Aadhaar number. The system indicates that there are no criminal records associated with her/his, confirming her eligibility for passport issuance.

6. Conclusion The cloud-based unique online police FIR registration and passport verification system using fingerprint authentication offers a modern, secure, and efficient approach to public safety and identity verification. By integrating biometricauthentication, the system ensures accurate identification reduces the chances of impersonation, and maintains the integrity of FIRs and passport applications. The centralized cloud infrastructure allows police

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