Identifying the Missing People using Deep Learning Method
Saravanan Alagarsamy, K. V. Sudheer Kumar, P. Chandra Vamsi, Devisetty Bhargava, B. Hemanth · 2022 7th International Conference on Communication and Electronics Systems (ICCES) · 2022
Finding the face of objects is one of the major challenging tasks in many applications especially finding the thief. Every day, plenty of news comes related to the abovementioned issue to identify the face of a particular person in terms of doing the suspicious activity. Image classification is used to find similar images matches and discover the properties of the image based on the predefined pattern. Segmenting the specific region of an image and matching the portion of the image with the already present image. The similarity portion of the image is found using the pixels clustering based on the threshold value. The intention of the work is to find the missed people by applying the deep learning technique to provide the optimal solution. The process is performed by using matching the segmented image with the predefined image present in the database. The suggested technique act as a better solution for finding the missing people involved in various illegal activities.