Comparative Analysis of Various Fingerprint Image Enhancement Algorithms

نویسندگان

  • Navjot Kaur
  • Gagandeep Singh
  • Sahil Vashist
چکیده

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.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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 featu...

متن کامل

Efficiency Analysis of Compared Normalization Methods for Fingerprint Image Enhancement

The efficiency of automated fingerprint identification system depends highly on fingerprint image enhancement algorithms. Fingerprint image enhancement can be divided into two stages: 1) At the first stage we enhance the image with conventional filters, where filter parameters do not change. 2) At the second stage we enhance the structure of ridges and valleys with contextual filters, where fil...

متن کامل

Adaptive fingerprint image enhancement with fingerprint image quality analysis

Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we prop...

متن کامل

Advanced Feature Extraction Algorithms for Automatic Fingerprint Recognition Systems

In this thesis we have developed an improved framework for advanced feature detection algorithms in automatic fingerprint recognition systems. We have studied the factors relating to obtaining high performance feature points detection algorithm, such as image quality, segmentation, image enhancement, feature detection, feature verification and filtering. Fingerprint image quality is an importan...

متن کامل

Designing of Fingerprint Enhancement Based on Curved Region Based Ridge Frequency Estimation

Fingerprint enhancement algorithm is used to improve the clarity of ridges and valleys of input fingerprint images. These kind of algorithm make them more suitable for the minutiae extraction algorithm. The ultimate criterion for evaluating such an enhancement algorithm is the total amount of “quality” improvement when the algorithm is applied to the noisy input fingerprint images. There are va...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015