NEURAL NETWORK – a lookup
Image processing is used for comparison of the already stored patterns with the include test pattern image. The input image pattern was compared each time when prompted.
ARTIFICIAL NEURAL NETWORK:
Artificial neural network (ANN) is richly connected networks of simple computational elements that are used to carry out complex cognitive and computational task. It is also called “parallel distributed processing (PDP) models”.
Monday, December 24, 2007
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.
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.
CALCULATION OF FEATURES
CALCULATION OF FEATURES
Aspect ratio:
It is also called a elongation or eccentricity, defined by the ratio of bounding box of an object.
Aspect ratio = Cmax - Cmin + 1 / Rmax – Rmin +1
Area:
Product of the image height and the width
Area = height of the image * width of the image
Perimeter:
Twice the product of the image height and width
Perimeter = 2 * (height of the image + width of the image)
Aspect ratio:
It is also called a elongation or eccentricity, defined by the ratio of bounding box of an object.
Aspect ratio = Cmax - Cmin + 1 / Rmax – Rmin +1
Area:
Product of the image height and the width
Area = height of the image * width of the image
Perimeter:
Twice the product of the image height and width
Perimeter = 2 * (height of the image + width of the image)
TYPES OF COLOR MODELS:
TYPES OF COLOR MODELS:
There are five basic types of color models as given below:
v RGB color model
v CMY color model
v YIZ color model
v HIS color model
v HSV color model
There are five basic types of color models as given below:
v RGB color model
v CMY color model
v YIZ color model
v HIS color model
v HSV color model
PIXEL DIMENTIONS:
PIXEL DIMENTIONS:
The number of pixels along the height and width of a bitmap image defines the size of the image.
IMAGE RESOLUTION:
The number of pixels displayed per unit of printed length in an image, usually measured in pixels per inch.
MONITOR RESOLUTION:
The number of pixels or dots displayed per unit of length on the monitor usually measured in dots per inch (dpi) monitor resolution depends on the size of the monitor plus its pixel settings.
The number of pixels along the height and width of a bitmap image defines the size of the image.
IMAGE RESOLUTION:
The number of pixels displayed per unit of printed length in an image, usually measured in pixels per inch.
MONITOR RESOLUTION:
The number of pixels or dots displayed per unit of length on the monitor usually measured in dots per inch (dpi) monitor resolution depends on the size of the monitor plus its pixel settings.
IMAGE PRCESSING
IMAGE PRCESSING - ahead
BITMAP IMAGES
All images editing software’s generate bitmap images; these bitmap images are also referred to as Raster images. Bitmap images use a grid of Small Square known as pixels to represent images.
VECTOR GRAPHICS
Vector graphics are made of lines and curves defined by mathematical objects. A vector graphics is resolution independent.
BITMAP IMAGES
All images editing software’s generate bitmap images; these bitmap images are also referred to as Raster images. Bitmap images use a grid of Small Square known as pixels to represent images.
VECTOR GRAPHICS
Vector graphics are made of lines and curves defined by mathematical objects. A vector graphics is resolution independent.
Whorl:
Whorl:
There are two deltas; they are sub-divided by their core trends
v Clock wise
v Anticlockwise
v Other
d) Composite:
The competitively unknown type of pattern being one of the complicated combinations of pattern a minority pattern, which does not confirm to the arch, loop or whorl type yet posses the characteristics come to all three types.
v Unusual patterns
v Scarred prints
v Amputated fingers
There are two deltas; they are sub-divided by their core trends
v Clock wise
v Anticlockwise
v Other
d) Composite:
The competitively unknown type of pattern being one of the complicated combinations of pattern a minority pattern, which does not confirm to the arch, loop or whorl type yet posses the characteristics come to all three types.
v Unusual patterns
v Scarred prints
v Amputated fingers
Subscribe to:
Posts (Atom)
