Human Age and Gender Determination Using Fingerprints

Open Access

Year : 2022 | Volume : | Issue : 2 | Page : 16-26
By

    Mukund Madhav

  1. Atrakesh Pandey

  1. Student, Department of Computer Science and Engineering, Poornima Institute of Engineering and Technology, Sitapura, Jaipur, Rajasthan, India

Abstract

We present a review of technologies to determine human age and gender using fingerprints. Broadly two methodologies are reviewed i.e. Ridge based human age and gender determination and Image based human age and gender determination. Ridge based techniques uses ridge information with its variant statistics measures for classification of a human fingerprint into different classes of age groups and male/female distinction. These methods do not involve separate classifiers for classification rather determines different thresholds for different classes for classification. On the other hand, Image based techniques uses image processing concepts both in spatial and frequency domain like image transformation in frequency domain. These methods also need separate classifier like KNN (K-Nearest Neighborhood) classifier, SVM (Support Vector Machine) etc. to determine age and gender of a specific human fingerprint. Considering the two approaches different research papers are reviewed and their accuracy is stated for the difference. In the end advantages and disadvantages are concluded for both methodologies along with the future scope in this field.

Keywords: Fingerprints, ridge based classification, image based classification, KNN, SVM, gender determination

[This article belongs to Journal of Advancements in Robotics(joarb)]

How to cite this article: Mukund Madhav, Atrakesh Pandey Human Age and Gender Determination Using Fingerprints joarb 2022; 9:16-26
How to cite this URL: Mukund Madhav, Atrakesh Pandey Human Age and Gender Determination Using Fingerprints joarb 2022 {cited 2022 Sep 17};9:16-26. Available from: https://journals.stmjournals.com/joarb/article=2022/view=97421

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Regular Issue Open Access Article
Volume 9
Issue 2
Received August 10, 2021
Accepted August 30, 2022
Published September 17, 2022