ABSTRACT
A fingerprint is the feature pattern
on the finger. It is proved through strong evidences that each fingerprint is
almost unique in nature. Each individual retains his own fingerprints with the
permanent and durable uniqueness. Hence fingerprints are being adapted for
identification and forensic investigation. The fingerprint recognition problem
can be grouped into two sub-categories: one is termed as fingerprint
verification and while the other is termed as fingerprint identification.
Additionally, apart from the manual approach of fingerprint recognition by the
experts, fingerprint recognition here is usually referred as AFRS (Automatic
Fingerprint Recognition System), which is drastically program-based. The
proposed system presents the variation of Fast Fourier Transform on finger
print recognition by fast fingerprint minutiae extraction and recognition
algorithm that improves the clarity between the ridge and valley structures of
the supposed to be provided finger print images in accordance with the
frequency as well as the orientation of the local ridges and extracting correct
minutiae.
Key Words: Binarization, Segmentation,
Minutae Extraction, Minutae marking.
CHAPTER
ONE
INTRODUCTION
With the introduction of biometrics
technology which is an advanced computer techniques now widely adopted as a
front line security measure for both identity verification and crime detection,
and also others an effective crime deterrent. In an increasingly digital world,
reliable personal authentication has become an important human computer
interface activity. Fingerprint recognition could be very complex pattern
recognition problem. It is difficult to design accurate algorithms that are
capable of extracting prolific features and comparing them in a robust way,
especially in poor quality fingerprint images and when low-cost acquisition
devices with small area are adopted. There is a greatest misconception that the
fingerprint recognition is a fully solved problem considering it was one of the
first applications of all amongst machine pattern recognition.
1.1
Biometrics
Biometrics is an automated method that
recognizes people based on their physical and action characteristics, and is a
field that used to authenticate a certain individuals characteristics,
recognize a person’s character, or study a person’s measurable characteristics.
Among the different biometrics, like face, hand, iris, voice and many others,
fingerprints is the most dominant biometric technology in commercial
applications due to their distinctiveness, persistence, accuracy, throughput,
size and cost of readers.
1.2
Exigency
The time taken for detecting
fingerprints is minimum .The Proposed system is useful to investigate the
current techniques for fingerprint recognition. The Proposed system is divided
into image-preprocessing, feature extraction and feature match. Some
optimization at coding level and algorithm level are proposed to improve the performance
of fingerprint recognition system with the variation of FFT on stored images.
The Proposed system is useful for the low quality fingerprint images. Variation
of FFT value on samples produces more accurate results.
TOPIC: DESIGN AND IMPLEMENTATION OF CRIME INVESTIGATION SYSTEM USING BIOMETRICS
Format: MS Word
Chapters: 1 - 5
Delivery: Email
Delivery: Email
Number of Pages: 65
Price: 3000 NGN
In Stock
No comments:
Post a Comment
Add Comment