A Person Identification by Androgenic Hair Patterns on Low Resolution Images using Neural Network Analysis with Gabor Filter

Ritu Sharma, Prof. Sangita Nikumbh


There are many techniques for identify persons by finger marks, blood samples, DNA, dental records, tattoos, face images and face sketches, which are used regularly over the globe. However, they cannot decide the exact identification, where only images describing specimens are available. Androgenic hair patterns are a stable biometric trait, Medical research results have implied that and also have potential to overcome the lack of blood vessel patterns and skin mark patterns. The aim of this paper is do matching performance of androgenic hair patterns in low resolution images. By using Gabor filter it can address the tilt image problem and neural network analysis is improving the matching algorithm.

Keywords: Androgenic Hair Pattern, Neural Network Analysis, Gabor Filter, Person and victim identification, Low resolution.

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DOI: https://doi.org/10.26483/ijarcs.v7i2.2644


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