The purpose of this study is to analyze the moisture, oiliness, elasticity and temperature (MOET) of fingers and whether these factors have significant affects on the quality of the fingerprint images looking at the following sensors: Upek Touch, Upek Swipe, UareU, Identix , Futronic, Crossmatch, Fujitsu, Authentic, and Atmel. Also analyzing the age in regards to the same factors and whether these factors have significant effects on quality of the fingerprint images. There were 187 subjects used in this study.

1. THE EFFECT OF MOET VALUES AND AGE ON IMAGE QUALITY
The purpose of this study is to analyze the moisture, oiliness, elasticity and temperature (MOET) of fingers and whether these factors have significant affects on
the quality of the fingerprint images looking at the following sensors: Upek Touch, Upek Swipe, UareU, Identix , Futronic, Crossmatch, Fujitsu, Authentic, and
Atmel. Also analyzing the age in regards to the same factors and whether these factors have significant effects on quality of the fingerprint images. There were
187 subjects used in this study.
Nevin Baker, John Prusiecki, Michael Brockly, Stephen Elliott
Overview
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Person::Age
Frequency
Histogram of Person::Age
There was a significant amount of participants in the age
group 18-35, with very few participants in the other three age
groups. Due to this we were unable to come to an accurate
conclusion about the effects of age on the quality of images.
Age of SubjectsMOET Values vs. Quality
These graphs have a normal distribution and represent the
moisture content of each individuals finger when using all
nine sensors.
This graph is slightly left skewed and represents the average
temperature of each individuals finger when using each
sensor.
These graphs have a strong right skew and the factors
represent how oily an individuals finger was while using each
of the nine sensors.
These graphs have a slight left skew and represent the
elasticity of an individuals finger for each of the nine sensors.
After researching and analyzing our data, we have come to a conclusion about moisture, oiliness, elasticity and temperature
(MOET) and their values regarding image quality, all while looking at nine different sensors. To begin, a median moisture score
has the majority of quality scores. Secondly, the lower the oiliness reading the higher the image quality. Thirdly, an elasticity
score that is higher returns a better image quality. Lastly, temperature appeared to not have an affect on image quality. Also, due
to the lack of participants in the age ranges of 36-50 and 51-65 we did not take much consideration of the affect it had on image
quality.
Conclusion
*0 denotes no response to age
MOET Means
Sensor ID Quality Moisture Oiliness Elasticity Temperature
Atmel 44.468 30.989 18.638 66.011 84.07
Authentic 82.09 31.464 18.232 64.365 84.862
Crossmatch 70.476 32.722 28.927 66.825 85.054
Fujitsu 82.449 31.617 20.509 65.939 85.132
Futronic 74.157 31.8 20.993 66.342 84.957
Identix 78.225 31.46 18.763 67.307 84.947
UareU 75.097 32.045 19.247 64.143 85.093
Upek_Swipe 79.129 31.536 19.247 64.8 84.824
Upek_Touch 69.987 31.616 18.959 65.549 84.923