Skip to main content
Springer Nature Link
Log in

Biometrics recognition of newborn: a review

  • 1238: Recent Advances in Biometrics Based on Biomedical Information
  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

The accurate identification and recognition of newborns hold significant importance in ensuring their safety and security within healthcare environments, particularly in hospitals and nurseries. This review article delves into the realm of biometric recognition techniques applied to newborns. The motivation behind this exploration lies in the pressing need for dependable methods that can prevent instances of mix-ups and mismatches, contributing to the overall welfare of infants and peace of mind for caregivers. The review encompasses an analysis of pertinent literature, focusing on authors, methodologies, databases, challenges faced, algorithms employed, performance metrics, and overarching observations.

The authors examined a variety of biometric modalities, including footprint recognition based on minutiae features, handprints, facial recognition, and voice recognition. The study considers the distinct challenges associated with newborn biometrics, such as the limited availability of comprehensive databases containing diverse newborn biometric samples. The goal of this review paper is to conduct a thorough analysis of relevant research on biometric recognition of newborns, including the current state-of-the-art, potential challenges, and opportunities.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. “Aadhar card: Registration for newborns starts in two state hospitals,” accessed on August 28, 2023. [Online]. Available: https://tinyurl.com/y7ep5596.

  2. Jia W, Cai H-Y, Gui J, Hu R-X, Lei Y-K, Wang X-F (2012) Newborn footprint recognition using orientation feature. Neural Comput Appl 21(8):1855–1863

    Article  Google Scholar 

  3. Gray JE, Suresh G, Ursprung R, Edwards WH, Nickerson J, Shiono PH, Plsek P, Goldmann DA, Horbar J (2006) Patient misidentification in the neonatal intensive care unit: quantification of risk. Pediatrics 117(1):e43–e47

    Article  Google Scholar 

  4. Jain AK, Arora SS, Cao K, Best-Rowden L, Bhatnagar A (2016) Fingerprint recognition of young children. IEEE Trans Inf Forensics Secur 12(7):1501–1514

    Article  Google Scholar 

  5. Bharadwaj S, Bhatt HS, Singh R, Vatsa M, Singh SK (2010) Face recognition for newborns: A preliminary study. In: 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp 1–6

  6. Tiwari S, Singh SK (2012) Face recognition for newborns. IET biometrics 1(4):200–208

    Article  Google Scholar 

  7. Tiwari S, Singh A, Singh SK (2012) Intelligent method for face recognition of infant. Int J Comput Appl 52(4)

  8. Tiwari S, Singh SK (2015) Does all newborn face lookalike to human and machine? Proc Natl Acad Sci India Sect A 85(2):211–220

    Article  Google Scholar 

  9. Singh R, Om H (2017) (two-dimensional) 2 whitening reconstruction for newborn recognition. Multimedia Tools Appl 76(3):3471–3483

    Article  Google Scholar 

  10. Singh R, Om H (2016) Illumination invariant face recognition of newborn using single gallery image. Proc Natl Acad Sci, India, Sect A 86(3):371–376

    Article  Google Scholar 

  11. Singh R, Om H (2017) Newborn face recognition using deep convolutional neural network. Multimedia Tools Appl 76(18):19005–19015

    Article  Google Scholar 

  12. Bharadwaj S, Bhatt HS, Vatsa M, Singh R (2016) Domain specific learning for newborn face recognition. IEEE Trans Inf Forensics Secur 11(7):1630–1641

    Article  Google Scholar 

  13. Singh R, Om H (2016) Pose invariant face recognition for new born: machine learning approach. In: Computational Intelligence in Data Mining—vol 1. Proceedings of the International Conference on CIDM, 5-6 December 2015. Springer India, pp 29–37

  14. Singh R, Singh R, Acharya A, Tiwari S, Om H (2021) Pose and Illumination Invariant Hybrid Feature Extraction for Newborn. Recent Adv Comput Sci Commun (Formerly: Recent Patents Comput Sci) 14(2):368–375

    Article  Google Scholar 

  15. Fields C, Hugh CF, Warren CP, Zimberoff M (1960) The ear of the newborn as an identification constant. J Obstetrics Gynecol 16(1):98–102

    Google Scholar 

  16. Tiwari S, Singh A, Singh SK (2011) Newborn's ear recognition: Can it be done?. In: 2011 International Conference on Image Information Processing, pp 1–6. IEEE

  17. Weingaertner D, Bellon ORP, Silva L, Cat MN (2008) Newborn's biometric identification: Can it be done?. In: VISAPP (1), pp 200–205

  18. Montgomery R (1926) Sole prints of new born babies. Am J Med Sci 169:830–837

    Article  Google Scholar 

  19. Wirestem J (1965) Know them by their feet. Med Rec News 168:158–160

    Google Scholar 

  20. Blake JW (1959) Identification of the Newborn by flexure creases. Ident News 9(9):3–5

    Google Scholar 

  21. Shepard KS, Erickson T, Fromm H (1966) Limitations of foot printing as a means of infant identification. Paediatrics 37(1):107–108

    Article  Google Scholar 

  22. Pela NTR, Mamede MV, Tavares MSG (1976) Analise critica de impressoes plantares de recem-nascidos. Rev Bras Enfermagem 29:100–105

    Article  Google Scholar 

  23. Thompson JE, Clark DA, Salisbury B, Cahill J (1981) Foot printing the Newborn: not cost-effective. J Pediatr 99(5):797–798

    Article  Google Scholar 

  24. Jia W, Gui J, Hu RX, Lei YK, Xiao XY (2010) Newborn footprint recognition using subspace learning methods. In: Advanced Intelligent Computing Theories and Applications: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings 6. Springer Berlin Heidelberg, pp 447–453

  25. Jia W, Hu RX, Gui J, Lei YK (2010) Newborn footprint recognition using band-limited phase-only correlation. In: Medical Biometrics: Second International Conference, ICMB 2010, Hong Kong, China, June 28-30, 2010. Proceedings 2. Springer Berlin Heidelberg, pp 83–93

  26. Balameenakshi S, Sumathi S (2013) Biometric recognition of newborns: Identification using footprints. In: 2013 IEEE Conference on Information & Communication Technologies, pp 496–501. IEEE

  27. Liu E (2017) Infant footprint recognition. In: Proceedings of the IEEE international conference on computer vision, pp 1653–1660

  28. Kotzerke J, Davis S, Horadam K, McVernon J (2013) Newborn and infant footprint crease pattern extraction. In: 2013 IEEE International Conference on Image Processing, pp 4181–4185. IEEE

  29. Kotzerke J, Arakala A, Davis S, Horadam K, McVernon J (2014) Ballprints as an infant biometric: A first approach. In: 2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, pp 36–43. IEEE

  30. Morgan LE, Pauls F (1939) Palm Prints for Infant Identification. Am J Nurs 39(8):866–868

    Google Scholar 

  31. Lemes RP, Bellon OR, Silva L, Jain AK (2011) Biometric recognition of newborns: Identification using palmprints. In: 2011 International Joint Conference on Biometrics (IJCB), pp 1–6. IEEE

  32. Uhl A, Wild P (2009) Comparing verification performance of kids and adults for fingerprint, palmprint, hand-geometry and digitprint biometrics. In: 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, pp 1–6. IEEE

  33. Holt SB (1973) The significance of dermatoglyphics in medicine: a short survey and summary. Clin Pediatr 12(8):471–484

    Article  Google Scholar 

  34. Galton F (1899) Finger prints of young children. Br Assoc Adv Sci 69(868–869):3

    Google Scholar 

  35. Kucken M, Newell AC (2005) Fingerprint formation. J Theor Biol 235(1):71–83

    Article  MathSciNet  Google Scholar 

  36. Cummins H, Midlo C (1961) Finger prints, palms and soles: an introduction to dermatoglyphics, vol 319. New York: Dover Publications

  37. Gottschlich C, Hotz T, Lorenz R, Bernhardt S, Hantschel M, Munk A (2011) Modeling the growth of fingerprints improves matching for adolescents. IEEE Trans Inf Forensics Secur 6(3):1165–1169

    Article  Google Scholar 

  38. Jain AK, Cao K, Arora SS (2014) Recognizing infants and toddlers using fingerprints: Increasing the vaccination coverage. In: IEEE international joint conference on biometrics, pp 1–8. IEEE

  39. Jain AK, Arora SS, Best-Rowden L, Cao K, Sudhish PS, Bhatnagar A, Koda Y (2016) Giving infants an identity: Fingerprint sensing and recognition. In: Proceedings of the Eighth International Conference on Information and Communication Technologies and Development, pp 1–4

  40. Tiwari S, Singh SK (2012) Newborn verification using headprint. J Inf Technol Res (JITR) 5(2):15–30

    Article  Google Scholar 

  41. Tiwari S, Singh A, Singh SK (2012) Can face and soft-biometric traits assist in recognition of newborn?. In: 2012 1st International Conference on Recent Advances in Information Technology (RAIT), pp 74–79. IEEE

  42. Tiwari S, Singh A, Singh SK (2012) Integrating faces and soft-biometrics for newborn recognition. Int J Adv Comput Eng Archit 2(2):201–209

    Google Scholar 

  43. Tiwari S, Singh A, Singh SK (2012) Fusion of ear and soft-biometrics for recognition of newborn. Signal Image Process: Int J 3(3):103–116

    Google Scholar 

  44. Koda Y, Higuchi T, Jain AK (2016) Advances in capturing child fingerprints: A high resolution CMOS image sensor with SLDR method. In: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), pp 1–4. IEEE

  45. Kotzerke J, Davis S, Hayes R, Horadam K (2019) Newborn and infant discrimination: revisiting footprints. Aust J Forensic Sci 51(1):95–108

    Article  Google Scholar 

  46. Tiwari S, Kumar S, Kumar S, Sinha GR (2015) Ear recognition for newborns. In: 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp 1989–1994. IEEE

  47. Ramachandra R, Busch C (2017) Presentation attack detection methods for face recognition systems: A comprehensive survey. ACM Comput Surv (CSUR) 50(1):1–37

    Article  Google Scholar 

  48. Sigaard M, Gomez-Barrero M, Busch C (2017) Multi-biometric template protection on smartphones: An approach based on binarized statistical features and bloom filters. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8–11, 2016, Proceedings, vol 10125. Springer, p 385

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India

    Shrikant Tiwari

  2. Department of Computer Science and Engineering, National Institute of Technology, Delhi, India

    Rishav Singh

  3. Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India

    Sanjay Kumar Singh

  4. Department of CSE, Engineering College Bikaner, Bikaner, Rajasthan, India

    Abhishek Singh Kilak

  5. College of Technical Engineering, The Islamic University, Najaf, Iraq

    Ahmed Alkhayyat

  6. Department of CSE&IT, Jaypee Institute of Information Technology Noida, Noida, India

    Ankit Vidyarthi

Authors
  1. Shrikant Tiwari
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Rishav Singh
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Sanjay Kumar Singh
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Abhishek Singh Kilak
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Ahmed Alkhayyat
    View author publications

    You can also search for this author inPubMed Google Scholar

  6. Ankit Vidyarthi
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Ankit Vidyarthi.

Ethics declarations

Competing interests

The authors of this review paper declare that there are no competing interests that could potentially bias or influence the content, findings, or conclusions presented in this work. Our primary objective is to provide an unbiased, comprehensive analysis of the current state-of-the-art in biometrics recognition for newborns, while addressing potential challenges, opportunities, and ethical considerations. Our assessment and interpretation of the literature have been guided solely by the aim of contributing to the scholarly discourse and knowledge dissemination in the field of healthcare and biometric technology.

The authors have no financial, personal, or professional relationships that could compromise the integrity of the research or introduce bias into the presented material. The review has been conducted with the sole purpose of advancing the collective understanding of biometric identification technologies as applied to newborns, and to foster meaningful discussions and further research in this critical field.

This statement indicates that the authors have no conflicts of interest that could potentially bias their research or conclusions, reinforcing the integrity and objectivity of the review paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tiwari, S., Singh, R., Singh, S.K. et al. Biometrics recognition of newborn: a review. Multimed Tools Appl 83, 80129–80159 (2024). https://doi.org/10.1007/s11042-024-18508-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-024-18508-1

Keywords