Parmak İzinden Cinsiyet Tahmini İçin Yeni Bir Zeki Sistem

Abstract

This paper proposes a new method for predicting genders from only fingerprints based on Artificial Neural Network (ANN) model. The modelling tasks are achieved by capturing fingerprints, analyzing an obtained fingerprint part (for example cropping 5x5mm part from a fingerprint image), determining ridges crossed by the diagonal of the obtained fingerprint part automatically, finding the ridge counts, ridge thicknesses, average fingerprint ridge counts of individuals, combining these features in a model, preparing and setting the structure of it and finally testing the model. The results of proposed model have shown that the best model achieves the task within 72% accuracy.

Does Race Have a Role in The Effect of Fingerprint on Gender?

“…So, sex determination can be made using this characteristic. It has been seen that, in addition to the finger ridge density, the ratio of the ridge thickness to the valley thickness, the ridge count and the ridge width values can also be used in sex determination [10]. On the one hand, many studies in the literature are similar to our study, on the other hand, Mustanski et al…”

“…Accordingly, it can be stated that women's fingerprint images contain much more fingerprint minutiae [9]. Numerous studies have been conducted to examine the relationship between fingerprint and sex using these minutiae [10][11][12][13][14]. This information is used to save both time and energy in identifying the owner of the fingerprint by estimating their sex in legal cases and investigation processes [10].…”

“…According to the studies examining the relationship between fingerprint and sex in the literature, the average finger ridge count differs by sex and race, and the average finger ridge count of men is lower than that of women in any racial group [8,[10][11][12][13][14][15][16][17]. In our study, the average finger ridge count was found to be significantly different between sexes, the thumb fingerprint loop count was found to be 11.94±2.08 for men and 12.76±2.02 for women, and these values were found to be consistent with the findings in the literature.…”