Skip to main content
SpringerLink
Log in

Attendance Recording System Using Partial Face Recognition Algorithm

  • Chapter
  • First Online:
Intelligent Techniques in Signal Processing for Multimedia Security

Part of the book series: Studies in Computational Intelligence ((SCI,volume 660))

Abstract

In today’s world, recording the attendance of a student plays an important role in improving the quality of educational system. The manual labor included in the maintenance and management of the traditional attendance sheets is tedious as it costs quite a time for the lecturer. Thus, there is a requirement for robust computerized biometric-based attendance recording system (ARS). Face recognition-based methods are a potential replacement for conventional systems, in case if the students to be addressed are more. This chapter gives an overview of the existing attendance recording systems, their vulnerabilities, and recommendations for future development. A smart attendance capturing and management system based on Viola–Jones algorithm and partial face recognition algorithms is introduced for two environments: controlled and uncontrolled. While the proposed system proved 100 % accurate under controlled environment, the efficiency under uncontrolled environment is quite low (60 %). It is observed that the face recognition rate varies from frame to frame. Further, the performance of the proposed attendance system completely depends upon the database collected, the resolution of the camera used and the capacity of students. Further work can be carried out to make the system more efficient in the real-time scenario.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dey M, Dey N, Mahata SK, Chakraborty S, Acharjee S, Das A (2014) Electrocardiogram feature based inter-human biometric authentication system. In: 2014 International conference on electronic systems, signal processing and computing technologies (ICESC). IEEE, pp 300–304

    Google Scholar 

  2. Sharma S, Shimi SL, Chatterji S (2014) Radio frequency identification (rfid) based employee monitoring system (EMS). Int J Curr Eng Technol 4(5):80–83

    Google Scholar 

  3. Bhalla V, Singla T, Gahlot A, Gupta V (2013) Bluetooth based attendance management system. Int J Innovat Eng Technol 3:2319–1058

    Google Scholar 

  4. Maji P, Chatterjee S, Chakraborty S, Kausar N, Samanta S, Dey N (2015) Effect of euler number as a feature in gender recognition system from offline handwritten signature using neural networks. In: 2015 2nd International conference on computing for sustainable global development (INDIACom). IEEE, pp 1869–1873

    Google Scholar 

  5. Sirshendu H, Sankhadeep C, Santhi V, Fuqian S (2015) Indian sign language recognition using optimized neural networks. In: International conference on information technology and intelligent transportation systems (ITITS 2015)

    Google Scholar 

  6. Rashid RA, Mahalin NH, Sarijari MA, Abdul Aziz A (2008) Security system using biometric technology: design and implementation of Voice Recognition System (VRS). In: International conference on computer and communication engineering, 2008. ICCCE 2008. IEEE, pp 898–902

    Google Scholar 

  7. Dehghani A, Ghassabi Z, Moghddam HA, Moin MS (2013) Human recognition based on retinal images and using new similarity function. EURASIP J Image Video Process 1:1–10

    Google Scholar 

  8. Cappelli R, Maio D, Maltoni D, Wayman JL, Jain AK (2006) Performance evaluation of fingerprint verification systems. IEEE Trans Pattern Anal Mach Intell 28(1):3–18

    Article  Google Scholar 

  9. Joseph J, Zacharia KP (2013) Automatic attendance management system using face recognition

    Google Scholar 

  10. Zhu J, Yu YL (1994) Face recognition with eigenface. IEEE international conference on industrial technology, pp 434–438

    Google Scholar 

  11. RoshanTharanga JG, Samarakoon SMSC, Karunarathne TAP, Liyanage KLPM, Gamage MPAW, Perera D (2013) Smart attendance using real time face recognition (smart-fr). SAITM Research Symposium on Engineering Advancements 2013

    Google Scholar 

  12. Chintalapati S, Raghunadh MV (2013) Automated attendance management system based on face recognition algorithms. In: 2013 IEEE international conference on computational intelligence and computing research (ICCIC). IEEE, pp 1–5

    Google Scholar 

  13. Javed A (2013) Face recognition based on principal component analysis. Int J Image Graph Sig Process 5(2):38

    Article  Google Scholar 

  14. Kawaguchi Y, Shoji T, Weijane LIN, Kakusho K, Minoh M (2005) Face recognition-based lecture attendance system. In: The 3rd AEARU workshop on network education, pp 70–75

    Google Scholar 

  15. Selvi KS, Chitrakala P, Jenitha AA (2014) Face recognition based attendance marking system

    Google Scholar 

  16. Gunes H (2010) Automatic, dimensional and continuous emotion recognition

    Google Scholar 

  17. Virmani J, Dey N, Kumar V (2016) PCA-PNN and PCA-SVM based CAD systems for breast density classification. In: Applications of intelligent optimization in biology and medicine. Springer, New York, pp 159–180

    Google Scholar 

  18. Dey N, Nandi B, Das P, Das A, Chaudhuri SS (2013) Retention of electrocardioGram features insiGnificantly devalorized as an effect of watermarkinG for. Advances in biometrics for secure human authentication and recognition, p 175

    Google Scholar 

  19. Yang J, Zhang D, Frangi AF, Yang JY (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 26(1):131–137

    Article  Google Scholar 

  20. Rongbao C, Shibing L (2009) A fast face recognition based on LDA and application on auto-guard against theft. J Univ Sci Technol China 39:181–185

    Google Scholar 

  21. Turk MA, Pentland AP (1991) Face recognition using eigenfaces. In: Proceedings CVPR’91, IEEE computer society conference on computer vision and pattern recognition. IEEE, pp 586–591

    Google Scholar 

  22. Huang D, Wang YH, Wang YD (2007) A robust infrared face recognition method based on adaboost gabor features. In: International conference on wavelet analysis and pattern recognition, 2007. ICWAPR’07, vol 3. IEEE, pp 1114–1118

    Google Scholar 

  23. Nishimura J, Kuroda T (2010) Versatile recognition using Haar-like feature and cascaded classifier. IEEE Sens J 10(5):942–951

    Article  Google Scholar 

  24. Cao L, Chen D, Fan J (2012) Face recognition using the wavelet approximation coefficients and fisher’s linear discriminant. In: 2012 5th International congress on image and signal processing (CISP). IEEE, pp 1253–1256

    Google Scholar 

  25. Sun Y, Yin L (2008) 3D Spatio-Temporal face recognition using dynamic range model sequences. In: IEEE computer society conference on computer vision and pattern recognition workshops, 2008. CVPRW’08. IEEE, pp 1–7

    Google Scholar 

  26. Jha A (2007) Class room attendance system using facial recognition system. Int J Math Sci Technol Manage 2(3):4–7

    Google Scholar 

  27. Kumar P, Agarwal MM, Nagar MS (2013) A survey on face recognition system-a challenge. Int J Adv Res Comput Commun Eng, 2(5):2167–2171

    Google Scholar 

  28. Nandi D, Ashour AS, Samanta S, Chakraborty S, Salem MA, Dey N (2015) Principal component analysis in medical image processing: a study. Int J Image Mining 1(1):65–86

    Article  Google Scholar 

  29. Shehu V, Dika A (2010, June) Using real time computer vision algorithms in automatic attendance management systems. In: 2010 32nd International conference on information technology interfaces (ITI). IEEE, pp 397–402

    Google Scholar 

  30. Balcoh NK, Yousaf MH, Ahmad W, Baig MI (2012) Algorithm for efficient attendance management: Face recognition based approach. IJCSI Int J Comput Sci Issues 9(4):146–150

    Google Scholar 

  31. Mao Y, Li H, Yin Z (2014) Who missed the class? Unifying multi-face detection, tracking and recognition in videos. In: 2014 IEEE international conference on multimedia and expo (ICME). IEEE, pp 1–6

    Google Scholar 

  32. Tsun JCE, Jen CW, Mei FCC (2014) Automated attendance capture system 2nd Eureca 2014, pp 1–2

    Google Scholar 

  33. Fuzail M, Nouman HMF, Mushtaq MO, Raza B, Tayyab A, Talib MW (2014) Face detection system for attendance of class’ students. Int J Multidiscip Sci Eng, 5(4), pp 6–10

    Google Scholar 

  34. Rekha AL, Chethan HK (2014) Automated attendance system using face recognition through video surveillance. Int J Technol Res Eng 1(11):1327–1330

    Google Scholar 

  35. Shirodkar M, Sinha V, Jain U, Nemade B (2014) Automatic attendance management system using face recognition. Int J Comput Appl 3:23–28

    Google Scholar 

  36. MuthuKalyani K, VeeraMuthu A (2013) Smart application for AMS using face recognition. Comput Sci Eng 3(5):13

    Google Scholar 

  37. Kanti J, Papola A (2014) Smart attendance using face recognition with percentage analyzer. Database, Int J Adv Res Comput Commun Eng, 3(6):7321–7324

    Google Scholar 

  38. Rode RS, Dahelkar NA, Nagdive NR, Gajbhiye AS, Shriwas MK (2015) Review of automatic attendance using facial recognition. Int J Innovat Res Comput Commun Eng 3(3):1716–1723

    Google Scholar 

  39. Dey N (ed) (2016) Classification and clustering in biomedical signal processing. IGI global

    Google Scholar 

  40. Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vision 57(2):137–154

    Article  Google Scholar 

  41. Liao S, Jain AK, Li SZ (2013) Partial face recognition: Alignment-free approach. IEEE Trans Pattern Anal Mach Intell 35(5):1193–1205

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. K S Institute of Technology, Bangalore, India

    Borra Surekha & Kanchan Jayant Nazare

  2. JNTUHCEJ, Karimnagar, Telangana, India

    S. Viswanadha Raju

  3. Techno India College of Technology, Kolkata, India

    Nilanjan Dey

Authors
  1. Borra Surekha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kanchan Jayant Nazare
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Viswanadha Raju
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nilanjan Dey
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Borra Surekha .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  2. School of Computing Science and Eng., VIT University School of Computing Science and Eng., Vellore, India

    V. Santhi

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Surekha, B., Nazare, K.J., Viswanadha Raju, S., Dey, N. (2017). Attendance Recording System Using Partial Face Recognition Algorithm. In: Dey, N., Santhi, V. (eds) Intelligent Techniques in Signal Processing for Multimedia Security. Studies in Computational Intelligence, vol 660. Springer, Cham. https://doi.org/10.1007/978-3-319-44790-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44790-2_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44789-6

  • Online ISBN: 978-3-319-44790-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation