Sketch-Based Image Retrieval System for Criminal Records Using Deep Learning

Abstract

Abstract: An overview to the Sketch Based Image Retrieval for Criminal Record where the user provides a sketch as input to the system to retrieve relevant images from the database. It is seen that traditional methods to draw the face sketch are still difficult and time consuming. This system is developed so that the identification of criminals is done faster than the traditional method. Therefore, the paper presents a simple and effective deep learning framework where user can create the sketch of the suspect and can be matched to the database to get the relevant criminal images. It mainly uses Histogram Oriented Graph, Support Vector Machine, Deep Convolutional Neural Networks machine learning algorithms for face landmarks estimation, feature extraction and pattern matching. SBIR proves to be more efficient and faster to process the criminal face in real-time, as time plays an important role in immediate action in the crime branch.