SURVEY PAPER ON CRIMINAL IDENTIFICATION SYSTEM


EOI: 10.11242/viva-tech.01.05.001

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Citation

Saish Sankhe, Yogesh Yadav, Qhubaib Shaikh, Prof. Reshma Chaudhari, "SURVEY PAPER ON CRIMINAL IDENTIFICATION SYSTEM", VIVA-IJRI Volume 1, Issue 6, Article 1, pp. 1-6, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

In many countries, there is an abnormal increase in the crime rate and also the number of criminals is increasing, which leads to a great concern about security issues. Crime prevention and criminal identification are major concerns for the department of Police. In general, Police stations utilize paper-based information storing systems and don't employ computer-based applications to a great extent. Due to this utilization of paper-based systems police officers have to spend much time as well as manpower to analyze existing crime information and to identify suspects for crime incidents. The process of identifying and spotting a criminal is slow and labor-intensive. Criminals these days are getting smarter by not leaving any form of biological evidence or fingerprint impressions on the crime scene. The human face is a dynamic object having a high degree of variability in its appearance which makes face recognition a difficult problem in computer vision. In this field, accuracy and speed of identification is the main issue. Many challenges exist for face recognition. The robustness of the system can be obstructed by humans who alter their facial features by wearing colored contact lenses, growing a mustache, putting on intense makeup, etc. The proposed system aims to build an automated Criminal Face Detection system by levering the human ability to recall minute facial details. Identification of criminals at the scene of a crime can be achieved in many ways like fingerprinting, DNA matching, or eyewitness accounts. Out of these methods, Face Identification accounts are preferred because it stands scrutiny in court and it is a cost-effective method. The footage of the CCTV can be used to identify suspects on the scene. This Real-time criminal identification system based on face recognition works with a fully automated facial recognition system. The proposed system can successfully recognize more than one face which is helpful for quickly searching suspected persons as the computation time is very low. It creates a unique template for each face and compares them with other images available in the dataset. If the match is found for the input face, then the details associated with the related image will be displayed. This system will decrease crimes and ensure security in our society.

Keywords

Identification, Criminal Tracking, Face recognition, Feature extraction, Face API, Open CV

References

  1. Nagnath Aherwad, Aditya Khamparia & Deep Chokshi (2021, July) “Criminal Identification System using Facial Recognition” 1st international conference on computational research and data analytics July 2021
  2. Kaumalee Bogahawatte & Shalinda Adikari, “Intelligent Criminal Identification System” The 8th International Conference on Computer Science & Education (ICCSE 2013) Colombo, Sri Lanka April 26-28, 2013
  3. Apoorva.P, Impana.H.C, Siri.S.L, Varshitha.M.R & Ramesh.B, “Automated Criminal Identification by Face Recognition Using Open Computer Vision” Proceedings of the Third International Conference on Computing Methodologies and Communication IEEE Xplore Part Number: CFP19K25-ART; ISBN: 978-1-5386-7808-4 (ICCMC 2019)
  4. Sudha Sharma, Mayank Bhatt & Pratyush Sharma, “Face Recognition System Using Machine Learning Algorithm”Proceedings of the Fifth International Conference on Communication and Electronics Systems IEEE Conference Record #48766; IEEE Xplore ISBN: 978-1-7281-5371-1 (ICCES 2020)
  5. Shiva Tamrkar, Ayush Gupta, “Criminal Face Detection System Using Python”, © July 2020| IJIRT | Volume 7 Issue 2 | ISSN: 2349-6002
  6. Mr.R. Prashanth Kumar, Abdul Majeed, Farhan Pasha, A Sujith, “REAL-TIME CRIMINAL IDENTIFICATION SYSTEM BASED ON FACE RECOGNITION” V26, Num 05, May/2020| Advanced Science Letters | E-ISSN:1936-7317
  7. Kavushica Rasanayagam, Kumarasiri S.D.D.C, Tharuka, “CIS: An Automated Criminal Identification System”, IEEE 2018
  8. Alireza Chevelwalla, Ajay Gurav, Sachin Desai, Prof. Sumitra Sadhukhan, “Criminal Face Recognition System” International Journal of Engineering Research & Technology (IJERT), Vol. 4 Issue 03, March-2015
  9. S. Aryyappan, Dr. S.Matilda, “ Criminals And Missing Children Identification Using Face recognition And Web Scraping” IEEE ICSCAN 2020
  10. S. T. Bharathi, Dr. B. Indrani, Dr. M. Amutha Prabakar, “A Supervised Learning Approach for Criminal Identification Using Similarity Measures and K-Medoids Clustering”, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) 2017.