Missing Person Identification Using Image Processing

Missing person identification is a crucial task in law enforcement and humanitarian efforts. Traditional methods rely heavily on manual searching, which is time-consuming and often ineffective. This paper presents an automated system leveraging image processing & deep learning techniques to identify missing individuals efficiently. The proposed system enhances the accuracy and speed of identification by utilizing facial recognition, feature extraction, and database matching. The experimental results demonstrate promising performance, making the approach suitable for real-world applications.