Abstract
Inheritance is the process of passing hereditary attributes or genetic characteristic from one age group of entities to the following or their descendants and they get some characteristic from their parents. Biometric inheritance attributes clarify the characteristic of the parents and child that they have common characteristic traits. These characteristic traits are passed by parents to child as eye color, hair color, hair texture, lips minutiae, blood type, and many more. The fingerprint authentication of a person is most popular manner due to fast response and easy to handle, and it is widely used in different places to check user authenticity compare to other authentication manner. As finger and its print are part of human body, so there is a logic that some part of it should match with the parent fingerprint. This research is aimed to synthesis of biometric inheritance patterns (fingerprint and palmprint) and its features extraction or recognition method. The finding of similarity between parent and children biometric pattern (fingerprint and palmprint) is the objective of the research work. Here, the research covers fingerprint and palmprint patterns, recognition method like minutiae matching, and its implementation on machine learning tools like MATLAB.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dastbaz M, Halpin E, Wright S (2013) Book-strategic intelligence management chapter 10—emerging technologies and the human rights challenge of rapidly expanding state surveillance capacitie. Science Direct
Economic times (2019) The future of security. so far, biometrics’ the way to go, ET Bureau, Dec
Mathuria M (2015) Fingerprint recognition based on minutiae information. IJCA
Mathuria M (2013) Fingerprint classification based on orientation estimation, IJARCS
Mathuria M (2018) Mobile banking transaction using fingerprint authentication. IEEE
Khodadoust J (2017) Fingerprint indexing based on minutiae pairs and convex core point. Pattern Recognit 67:110–126. ISSN 0031-3203. https://doi.org/10.1016/j.patcog.2017.01.022
Fish JT, Miller LS, Braswell MC (2014) Crime scene investigation. 3rd (ed) Elsevier
MedlinePlus Homepage. https://medlineplus.gov/genetics/understanding/traits/fingerprints
Science Buddies Homepage (2020). https://www.sciencebuddies.org/science-fair-projects/project-ideas/Genom_p009/genetics-genomics/are-fingerprint-patterns-inherited
Aigbogun EO (2019) Fingerprint pattern similarity: a family-based study using novel classification. Int J Exp Clin Anat. https://doi.org/10.2399/ana.19.065
Adam EEB, Ammayappan S (2021) Evaluation of fingerprint liveness detection by machine learning approach—a systematic view. J ISMAC IoT Soc Mob Anal Cloud 3(1). ISSN: 2582-1369. https://doi.org/10.36548/jismac.2021.1.002
Chinnappan C (2021) Fingerprint recognition technology using deep learning: a review. Int J Creat Res Thoughts (IJCRT) 9. ISSN: 2320-2882
Naveen M (2021) Machine learning algorithms based palmprint biometric identification. Int J Eng Res Technol (IJERT) 9. ISSN: 2278-0181, ICCIDT
Yadav JKPS (2020) A short review on machine learning techniques used for fingerprint recognition. J Crit Rev 7. ISSN: 2394-5125
Prasanna YSDL (2020) Palm print recognition using inner finger deep learning using neural network. Int J Adv Sci Res Eng Trends 5. ISSN (Online) 2456-0774
Tamrakar A, Gupta N (2019) A study on machine learning approach for fingerprint recognition system. Int J Bio Sci (IJO-SCIENCE) 5(11). ISSN: 2455-0108. https://doi.org/10.24113/ijoscience.v5i11.234
Nguyen HT, Nguyen LT (2019) Fingerprints classification through image analysis and machine learning method. Algorithms. https://doi.org/10.3390/a12110241
Kundu P (2019) A survey on fingerprint pattern recognition. Int J Res GRANTHAALAYAH. ISSN: 2350-0530(O), ISSN: 2394-3629(P). https://doi.org/10.29121/granthaalayah.v7.i8.2019.704
Mathuria M (2012) Fingerprint matching using ridge-end and bifurcation points. IJCA
Mathuria M (2020) Improved fingerprint recognition using filtering techniques. Springer
Mathuria M (2013) Fingerprint minutiae matching using region of interest. IJCTT
Mathuria M (2016) Quality improvement of fingerprint recognition system. Springer
Mathuria M (2019) User identification over digital social network using fingerprint authentication. Springer
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sharma, V., Gupta, Y.K. (2023). Biometric Inheritance Pattern Synthesis and Features’ Extraction. In: Joshi, A., Mahmud, M., Ragel, R.G. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). ICTCS 2022. Lecture Notes in Networks and Systems, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-19-9638-2_29
Download citation
DOI: https://doi.org/10.1007/978-981-19-9638-2_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9637-5
Online ISBN: 978-981-19-9638-2
eBook Packages: EngineeringEngineering (R0)