Journal ArticleDOI
Fingerprint classification and building a gender prediction model using random forest algorithm
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TLDR
The Random Forest RF algorithm is an ensemble-learning method proved to be very effective in the field of bioinformatics and was applied to help classify the fingerprints, and found that it produces highly accurate results in reasonable time.Abstract:
The popularity of fingerprints as the means of an individual's identification has increased, and has resulted in a drastic increase in the size of fingerprint datasets. Every fingerprint can be classified based on their patterns. This can be done with the help of a classification system, which also helps to reduce the search and space complexity of the identification algorithm. Random Forest RF algorithm is an ensemble-learning method proved to be very effective in the field of bioinformatics. The system proposed in this paper applied the RF algorithm to help classify the fingerprints, and found that it produces highly accurate results in reasonable time. In addition, different features of the fingerprints such as number of ridge-endings and bifurcations, number of cores and deltas and average inter-ridge distance, were used to build a gender prediction model, which was found to be reasonably accurate.read more
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Book
Handbook of Fingerprint Recognition
TL;DR: This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
Journal ArticleDOI
Is there a gender difference in fingerprint ridge density
TL;DR: If women have significantly higher ridge density, hence finer epidermal ridge detail, than men by counting ridges that occur within a well defined space then the likelihood of inferring gender from given ridge densities will be explored.
Journal ArticleDOI
Latent Fingerprint Matching Using Descriptor-Based Hough Transform
TL;DR: A new fingerprint matching algorithm which is especially designed for matching latents and uses a robust alignment algorithm (descriptor-based Hough transform) to align fingerprints and measures similarity between fingerprints by considering both minutiae and orientation field information.
Journal ArticleDOI
Sex Determination from Fingerprint Ridge Density
TL;DR: It has been successful to support the hypothesis that women tend to have a statistically significant greater ridge density than men.