Thinness:

Thinness:
Thinness = 4 *3.14 [area / perimeter ^2]

Histogram:
Histogram is used as the model of the probability distribution of gray levels.
P (g) = N (g) / M
Where,
P (g) is the first order Histogram probability
N (g) is the number of pixels at the specified gray level
M is the total number of pixels

Mean:
Means is the average value, so it tells about the brightness of the image.

Variance:
Variance of the ridge valley structures in the fore ground is higher than the variance of the noise in the background.

Standard Deviation:
The standard deviation of the ridge valley structures in the fore ground is higher than the standard deviation of the noise in the background.

Ridge ending:
The ridge ending is calculated by counting the number of active pixels found on minutiae detected fingerprint image.

Ridge bifurcation:
The ridge bifurcation is calculated by counting the number of active pixels forming the bifurcation object from the minutiae detected finger print image.