A Study on Fingerprint Image Enhancement Techniques (original) (raw)
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A Conceptual Study on Image Enhancement Techniques for Fingerprint Images.
Biometrics is an emerging field of research in recent years and has been devoted to the identification of individuals using one or more intrinsic physical or behavioral traits. Fingerprints are the prominent and widely acceptable biometric features compared to face, speech, iris, and other types of biometrics. Fingerprint characteristic or features are unique for everyone and which cannot change throughout the lifetime. Fingerprint biometrics is having applications in diverse fields like attendance system, criminology, mobile applications and logical access control system. This is the purpose behind the popularity of fingerprints as the biometric identifier. The biometric image captured through mobile supportive devices like the mobile camera or USB Fingerprint contains low-quality images. In fingerprint recognition system the quality of the image plays a very important role while matching two fingerprints. Most of the fingerprint recognition systems result in poor matching due to impurity or noisy images. So there is high necessity and scope for image preprocessing and enhancement techniques in order to improve the quality of fingerprint image and to obtain high accuracy in the matching process. In this paper, we discuss some approaches and methods for reducing noise or impurities and to improve the quality of the image before matching them. These techniques help the fingerprint recognition system to become robust and to obtain high quality in the matching process.
Fingerprint Image Enhancement and its Feature Extraction for Recognition
ijstr.org
Fingerprint recognition is one of the most popular and successful methods used for person identification, which takes advantage of the fact that the fingerprint has some unique characteristics called minutiae; which are points where a curve track finishes, intersect with other track or branches off. A critical step in studying the statistics of fingerprint minutiae is to reliably extract minutiae from the fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. The goal of this paper is to represent a complete process of fingerprint feature extraction for minutiae matching.
Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition Systems are based on local ridge features known as minutiae, marking minutiae accurately and rejecting false ones is very important. However, fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae. The techniques are broadly classified as those working on binarized images and those that work on gray scale images directly.
A REVIEW REPORT ON FINGERPRINT IMAGE ENHANCEMENT FILTER
TJPRC, 2013
This research aims to study diffrent kind of filter applied for fingerprint image enhancement. The fingerprint images which are obtained from sensors, scanning or imaging devices may be dirty, ink blurred or infected during acquisition process. The quality of a fingerprint image directly affects the performance of feature extraction and recognition system, so it is necessary to enhance fingerprint image by some method. Enhancement techniques are so varied, and use so many different image processing approaches, that it is difficult to assemble a meaningful body of techniques suitable for enhancement without extensive background development. For this reason an attempt is made to bring review on fingerprint enhancement filters and algorithms in this paper.
Fingerprint Image Enhancement Based on Various Techniques, Feature Extraction and Matching
Exact involuntary individual recognition is critical in a diversity of applications in our electronically organized society. Biometrics, which mentions to recognition based on physical or behavioral characteristics, is being increasingly adopted to give positive recognition with a high degree of confidence. Among all biometric techniques, fingerprint-based authentication schemes have established most attention because of long history of fingerprints and their general apply in forensics. Fingerprints are a great source for recognition of individuals. Fingerprint recognition is one of the forms of biometric recognition. However obtaining a decent fingerprint image is not always easy. So, fingerprint image should be pre-processed by matching. The main objective of this work is to propose an image matching algorithm which is useful to every image for matching. For professional enhancement and feature extraction procedures, the segmented structures should be invalid of every noise. A pre-processing method containing of field course, ridge frequency estimated, filtering, partition and enhancement is performed. The attained image is useful to a thinning algorithm and following minutiae removal. The association of image pre-processing and minutiae extraction is deliberated. The simulations are performed in the MATLAB atmosphere to estimate the performance of the implemented algorithms. MATLAB provides a valuable atmosphere for these progresses. Outcome and interpretation of the fingerprint images
Comparative Analysis of Various Fingerprint Image Enhancement Algorithms
There are various biometric features for personal identification but Fingerprints are today the most widely used biometric features for the same. Many automatic systems are there for fingerprint enhancement which is based on ridges and valleys. Automatic fingerprint recognition system is totally based on Fingerprint enhancement. It is necessary to choose the suitable enhancement technique for fingerprint, in order to reduce the post-processing part of the fingerprint recognition system. Different Fingerprint Enhancement techniques have been discussed in this work. These different methods are used by which the image quality is enhanced and Fingerprint Matching techniques are applied. These algorithms contribute to recognize the person and provide authenticity on the basis of physiological or behavioral characteristic possessed by the user. But, author's focus is on the methods of enhancement. By having the proper analysis of all the existing methods and algorithms, author can review the literature of fingerprint image enhancement methods, so as to design a new advanced and modified method for the same. With the help of these techniques we can prepare a system which is helpful to enhance the watermarked fingerprints.
FINGERPRINT IMAGE ENHANCEMENT TECHNIQUE AND ITS QUALITATIVE ANALYSIS
The research paper have a new design technique with the application of diffrent kind of filters for fingerprint image enhancement implemented and coded. The result obtained in design is discussed with analysis for each stage of filter.For qualitative analysis two quality measure PSNR and MSE is introduced.With the help of this quality measure and result obatined is further analysed with mathematical statistics, line and bar diagram. Some of result statistics found very good in design and some stage it has got limitation.Limitation are also brought for discussion and some future course of action on design is kept for future exploration.
Fingerprint Enhancement and its features purification
It is difficult to extract only genuine minutiae from fingerprints. Enhancement techniques are being used as preprocessing methods for minutiae extraction. The fingerprint enhancement is a challenging process. To overcome the adverse effect caused by spurious minutiae in fingerprint matching, a new method for fingerprint enhancement is proposed. Since some of the spurious minutiae in the boundary region cannot be remo ve in the minutiae purification, we draw a region of interest in the fingerprint image to remove the remaining boundary minutiae which exists as a ridge ending. These boundary minutiae affect the accuracy in fingerprint matching. Experimental result shows that the proposed method can eliminate the effect caused by spurious minutiae.
Fingerprint Image Enhancement and Extraction of Minutiae and Orientation
Fingerprints are popular among the biometric – based systems due to ease of acquisition, uniqueness and availability. Fingerprint based biometric systems work by extracting and matching some features on the fingerprint. Due to errors in acquisition phase, it is possible that the scanned fingerprint image is not of a good quality and hence needs to be enhanced before being processed by the feature extracting module. Out of the various features that can be extracted, orientation and minutiae points are the most common ones to be used. This paper discusses some commonly used fingerprint enhancement techniques, the algorithms for minutiae and orientation extraction followed by the comparison of the algorithm on various databases.