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Automated Fingerprint Biometric System for Crime Record Management

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Book cover Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 419))

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Abstract

Every society has laid down rules and regulations which are to be abide to by the citizens. Once the laws of the land are violated, then a crime is being committed and who break that law is called a criminal. A crime is an illegal conduct that is penalized by the government or another authority. Tracking and managing crimes committed by an individual whose conduct is extremely susceptible to a variety of framing situations is what crime management entails. The crime monitoring system can assist in the storage of records relating to criminals, cases, complaint records, and case histories, among other things. This process is usually done manually and it attracts a lot of issues. Low case tracking capability and a lack of searchable crime databases are among these challenges. In addition, there are issues with paper document management and filing, which can lead to data loss, unwanted access, and damage. Therefore, there is need to automate the system of crime record management. Some researchers have worked in this field but none of them have been able to proffer adequate solution in using fingerprint biometric system to identify criminals based on their unique identifiers. Hence, this study aims at developing an automated fingerprint biometric system for crime record management. The system would be developed using PHP and MYSQL and tested on some datasets and at the end would be able to manage crime records efficiently and effectively.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Muyideen AbdulRaheem, Joseph Bamidele Awotunde & Idowu Dauda Oladipo

  2. Department of Computer Science and Communication, Ostfold University College, Halden, Norway

    Sanjay Misra

  3. Covenant University, Ota, Ogun State, Nigeria

    Jonathan Oluranti

Authors
  1. Muyideen AbdulRaheem
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  2. Sanjay Misra
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  3. Joseph Bamidele Awotunde
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  4. Idowu Dauda Oladipo
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  5. Jonathan Oluranti
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Corresponding author

Correspondence to Sanjay Misra .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  3. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Anu Bajaj

  6. Faculty of Information Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  7. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene

  8. Lisbon University Institute, Lisbon, Portugal

    João Carlos Ferreira

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AbdulRaheem, M., Misra, S., Awotunde, J.B., Oladipo, I.D., Oluranti, J. (2022). Automated Fingerprint Biometric System for Crime Record Management. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_76

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