Sketch-Based Image Retrieval System for Criminal Records

An Overview of the facial recognition system using computer vision algorithms. The algorithm mainly uses the dlib library for finding the faces, estimating face landmarks, and Deep convolutional networks for pattern matching. Sketch-based image retrieval (SBIR) is a system where the user provides a sketch as input to the system to retrieve images relevant to the given sketch. Content-based image retrieval (CBIR) is widely used for retrieving images from substantial image databases. However, users are not satisfied with traditional information retrieval techniques. Therefore, the paper presents a simple and effective deep learning framework based on convolutional neural networks (CNN) for fast image retrieval, consisting of feature extraction and classification. From multiple studies on various CBIR tasks using image databases, we have yielded promising results that reveal important insights for improving the performance of CBIR.