Crime Detection Using Text Recognition and Face Recognition Shivam Bachhety 1 , Ramneek Singhal 2 , Kshitiz Rawat 3 , Kunal Joshi, Rachna Jain 4 1,2,3,4,5 Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India 1 shivambachhety97@gmail.com 4 rachna.jain@bharatividyapeeth.edu Abstract. With rapid growth and development in big towns and cities, the crime is also increasing at an alarming rate. Various cases of theft, stealing crimes, burglary, kidnapping, human trafficking etc. are left unsolved because the vehicle involved could not be identified accurately as it is not feasible for human eye to verify characters from license plate of fast moving vehicles. Many a times there is no identification of the person who was involved in criminal activities. To avoid such situation, we have proposed an effective crime detection system using Text and Face recognition technique. Such systems will be very effective at toll tax collection, parking system, airports, and Border crossings. Text Recognition can be used to identify number plate and face recognition can be used for criminal identification. The efficiency of the system depends on the quality, illumination and view of the image captured. This paper aims to provide better result both in terms of speed and accuracy than conventional methods in use relating to the text and face recognition process for criminal identification. Keywords: ANN; ANPR; Backpropagation Algorithm; Crime Detection; OCR; PCA 1 Introduction Number Plate recognition is one the applications of text recognition. The technique involves extracting numbers and alphabets from image captured. In recent years license plate recognition has been one of the instrumental techniques for vehicle investigation. It is can be applied at number of public places for gratifying some of the purposes like traffic safety enforcement ,toll tax collection [1] and car park system [2].Automatic Number Plate Recognition algorithms are generally divided in four steps: (1) Capturing Vehicle Image (2) Detection of Number Plate (3) Segmentation of character and (4) Recognition of Character. Face recognition consists of identification of the human face by building a similar computational model. During the past few years, face recognition has received amplified consideration and has advanced the process of crime detection. A face recognition system consists of four steps: Detection, Alignment, Feature Extraction, and Matching. [3] 5 International Journal of Pure and Applied Mathematics Volume 119 No. 15 2018, 2797-2807 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ Special Issue http://www.acadpubl.eu/hub/ 2797