Human Age and Gender Determination by Using Fingerprints

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 technique 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 determine 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 classifiers 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.