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@article{174814,
        author = {Shankar Singh and Satyam Payal and Rashika Poswal and Tushar Negi},
        title = {Secure Distributed Approach For Finding Missing Person Using Face Recognition Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {743-747},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174814},
        abstract = {The search for missing persons, particularly after several decades, poses tremendous challenges as a result of alterations in facial appearance over time, the unavailability of up-to-date photographs, and extensive data sources to screen. The facial recognition method is a mechanism by machine learning technology that can identify a human being by scanning his facial profile after decades and is used in solving many kinds of real-life problems—identification of a missing person after decades has been solved securely and successfully with the help of a distributed technique and facial recognition method. This paper introduces a new method that integrates state-of-the-art face recognition algorithms with a distributed computing platform to improve the efficiency and accuracy of missing person identification, even after decades. By utilizing deep learning-based facial aging models, large-scale databases, and cloud-based distributed systems, our approach efficiently handles massive amounts of image data. We benchmark the performance of our method in real-life missing persons cases and provide results showcasing its potential in helping law enforcement agencies and humanitarians bring families back together.},
        keywords = {secure distributed approach, Administrative Process, Crossmatching, face recognition, Facial Detection, Facial Mapping, deep learning. Facial Aging Model, Distributed System Architecture, GAN-Based Aging Model.},
        month = {March},
        }