Finger print recognition systems can identify individuals by analyzing unique fingerprint patterns. The document describes a methodology where a scanner measures distances between fingerprint features like deltas, bifurcations and ridges. It sends the distance and feature type data to a circuit for comparison against a database. If over 6 of the 8 distances and features match a database entry, the fingerprint is verified. The system can be used for applications like access control and criminal investigations.

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Finger Print Report
Abstract
Finger print is considered a very efficient way to identify individuals because every
individual has his own unique finger print, in fact even identical twins who have the
same DNA have different finger prints and the reason why is that finger prints are
created while the baby is his mother’s whom, the pressure of the fluid inside the whom
on the surface of the hands and finger tips influences the formation of patterns and with
so many factors which determine the shapes of these patterns every ones finger prints
are unique
Introduction and Description
Finger print Recognition system that can tell you whether your finger print is in the data
base or not and it has many applications such as opening safes and doors, opening
personal devices such as your computer or mobile phone, it can be used in a student
attendance management system, and to verify the identity of someone who is a victim
or a criminal in a police investigation by scanning your finger and comparing the data
from your finger print to the data that is already exists in a data base.
Methodology
Recognizing fingerprints by measuring distances between certain features(delta feature,
bifurcation feature, dot feature and ridge ending feature) around the core of a fingerprint
and comparing it with the distances and the features that already existed in a data base
1. The scanner/sensor will scan the fingerprint and will recognize the core of the
fingerprint and 8 certain features around the fingerprint.
2. The scanner/sensor will measure the distance between the 8 features and the
core of the fingerprint in pixels and will send the 8 distances and the type of
every feature to the circuit as an input from the smallest distance (the nearest
feature) to the largest (the farthest feature) in order.

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3. The circuit will Take the 8 distances and the 8 type of features input and compare
it with the 8 distances and 8 features that already existed in the data base
4. If more than 6 of the distances and features matched the distances and features
in the data base it will output TRUE and if more than one distances and feature
did not match the output will be FALSE to allow a sensor error if it measured one
distance wrong otherwise the user must try again

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Drawing sheets and Block diagrams

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Combinational logic Analysis
 Is equal analysis  X-NOR Gate
A B A = B
0 0 1
0 1 0
1 0 0
1 1 1
 Adder analysis  X-OR, AND
Gates
A B SUM C
0 0 0 0
0 1 1 0
1 0 1 0
1 1 0 1