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Fingerprint Image Identification for Crime Detection

, , , , and . International Journal of Innovative Research in Information Security, 9 (2): 10-14 (May 2023)1. Adler, A.; Schuckers, S. Biometric vulnerabilities, overview. In Encyclopedia of Biometrics; Li, S.Z., Jain, A., Eds.; Springer: Boston, MA, USA, 2009. https://doi.org/10.1007/978-0-387-73003-5_65 2. Nguyen, H.T. Fingerprints Classification through Image Analysis and Machine Learning Method. Algorithms 2019, 12, 241. https://doi.org/10.3390/a12110241 3. Biometric Systems Lab—FVC2000: Fingerprint Verification Competition. Available online: FVC2000 (unibo.it)(accessed on 22 January 2021). 4. Tang, Y.; Gao, F.; Feng, J. Latent fingerprint minutia extraction using fully convolutional network. In Proceedings of the 2017 IEEE International Joint Conference on Biometrics, Denver, CO, USA, 1–4 October 2017; pp. 117–123. https://doi.org/10.1109/btas.2017.8272689 5. Huang, X.; Qian, P.; Liu, M. Latent fingerprint image enhancement based on progressive generative adversarial network. In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Seattle, WA, USA, 14–19 June 2020; pp. 3481–3489. https://doi.org/10.1109/cvprw50498.2020.00408 6. Neurotechnology Company—Sample Fingerprint Databases. Available online: Download biometric algorithm demo software, SDK trials, product brochures. (neurotechnology.com)(accessed on 22 January 2021). 7. Fingerprint Image identification for crime detection (2019) Fingerprint Image Identification for Crime Detection | IEEE Conference Publication | IEEE Xplore https://doi.org/10.1109/iccsp.2019.8698014.
DOI: 10.26562/ijiris.2023.v0902.02

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Fingerprint Image Identification for Crime Detection, , , , and . International Journal of Innovative Research in Information Security, 9 (2): 10-14 (May 2023)1. Adler, A.; Schuckers, S. Biometric vulnerabilities, overview. In Encyclopedia of Biometrics; Li, S.Z., Jain, A., Eds.; Springer: Boston, MA, USA, 2009. https://doi.org/10.1007/978-0-387-73003-5_65 2. Nguyen, H.T. Fingerprints Classification through Image Analysis and Machine Learning Method. Algorithms 2019, 12, 241. https://doi.org/10.3390/a12110241 3. Biometric Systems Lab—FVC2000: Fingerprint Verification Competition. Available online: FVC2000 (unibo.it)(accessed on 22 January 2021). 4. Tang, Y.; Gao, F.; Feng, J. Latent fingerprint minutia extraction using fully convolutional network. In Proceedings of the 2017 IEEE International Joint Conference on Biometrics, Denver, CO, USA, 1–4 October 2017; pp. 117–123. https://doi.org/10.1109/btas.2017.8272689 5. Huang, X.; Qian, P.; Liu, M. Latent fingerprint image enhancement based on progressive generative adversarial network. In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Seattle, WA, USA, 14–19 June 2020; pp. 3481–3489. https://doi.org/10.1109/cvprw50498.2020.00408 6. Neurotechnology Company—Sample Fingerprint Databases. Available online: Download biometric algorithm demo software, SDK trials, product brochures. (neurotechnology.com)(accessed on 22 January 2021). 7. Fingerprint Image identification for crime detection (2019) Fingerprint Image Identification for Crime Detection | IEEE Conference Publication | IEEE Xplore https://doi.org/10.1109/iccsp.2019.8698014.iDataGuard: middleware providing a secure network drive interface to untrusted internet data storage., , , , and . EDBT, volume 261 of ACM International Conference Proceeding Series, page 710-714. ACM, (2008)Celling SHIM: compiling deterministic concurrency to a heterogeneous multicore., and . SAC, page 1626-1631. ACM, (2009)CCD: Efficient Customized Content Dissemination in Distributed Publish/Subscribe., , , and . Middleware, volume 5896 of Lecture Notes in Computer Science, page 62-82. Springer, (2009)A Game Theoretic Approach for Power Aware Middleware., and . Middleware, volume 3231 of Lecture Notes in Computer Science, page 417-438. Springer, (2004)Attacks of simple block ciphers via efficient heuristics., and . Inf. Sci., 177 (12): 2553-2569 (2007)Scalable Behavioral Emulation of Extreme-Scale Systems Using Structural Simulation Toolkit., , , , and . ICPP, page 17:1-17:11. ACM, (2018)Compositional deadlock detection for rendezvous communication., , and . EMSOFT, page 59-66. ACM, (2009)Towards Reliable Application Data Broadcast in Wireless Ad Hoc Networks., , , , and . WCNC, page 4063-4068. IEEE, (2007)Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model., , , , and . COMPSAC (2), page 221-226. IEEE, (2019)