Hough Transform for Distinctive Edge Detection to Images in Fingerprint Recognition Matching Transformation

Biometric Identification is a globally renowned procedure, which has been utilised to achieve a successful and accurate level of identification. In the sea of biometrics, fingerprints are deemed more popular when it comes to verification. This results from the presence of the ridges on the fingerprints that are completely exclusive to each individual. Besides that, fingerprints are expansively employed to ascertain and authenticate people individually. Therefore, this study had proposed to employ distinctive Edge Detection techniques together with the Hough Transform to match the images of the fingerprints in a fingerprint matching system. The Hough Transform is a superior procedure carried out to get an accurate series of finer points or lines. The finer points or lines would then distinguish the fingerprints. Nevertheless, it was still a challenge to extract finer points or lines from the fingerprints under uninhibited conditions. Therefore, this paper was organised based on four distinctive steps. First, different Edge Detection operators were employed to perform the fingerprint matching algorithm. Next, the fingerprint matching algorithm was applied twice to the same Edge Detection operators. Thirdly, the Edge Detection operators had been substituted with the Transformation Method for the same matching procedure. For example, the proposed fingerprint matching algorithm comprised of the Hough Transform and same Edge Detection operators. Finally, distinct Edge Detection operators based on the decision making algorithm were used to calculate and determine the percentage of matching. Therefore, this study proved that the prints obtained via the Prewitt Edge Detection together with Hough Transform were in an agreement.

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Application of Fingerprint-Matching Algorithm in Smart Gun Using Touch-Less Fingerprint Recognition System

Applications of Artificial Intelligence in Electrical Engineering - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-2718-4.ch007 ◽

2020 ◽

pp. 122-128

Author(s):

Saifullah Khalid

Keyword(s):

Recognition System ◽

Fingerprint Recognition ◽

Fingerprint Matching ◽

Fingerprint Image ◽

Matching Algorithm ◽

Latent Fingerprint ◽

Recognition Systems

Fingerprint recognition systems are widely used in the field of biometrics. Many existing fingerprint sensors acquire fingerprint images as the user's fingerprint is contacted on a solid flat sensor. Because of this contact, input images from the same finger can be quite different and there are latent fingerprint issues that can lead to forgery and hygienic problems. For these reasons, a touchless fingerprint recognition system has been investigated, in which a fingerprint image can be captured without contact. While this system can solve the problems which arise through contact of the user's finger, other challenges emerge.

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A Review of Multiple Edge Detection in Road Lane Detection Using Improved Hough Transform

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1125.541 ◽

2015 ◽

Vol 1125 ◽

pp. 541-545 ◽

Cited By ~ 1

Author(s):

Muhamad Lazim Talib ◽

Suzaimah Ramli

Keyword(s):

Edge Detection ◽

Hough Transform ◽

Autonomous Navigation ◽

Traffic Accidents ◽

Detection System ◽

Lane Detection ◽

Safe Driving ◽

Driving Experience ◽

Detection Techniques ◽

Selection Of

Lane detection system for the driver of the car is an important issue for the inquiry as a platform for safe driving experience. Implementation of this system is trying to investigate the possibility of traffic accidents, monitor the efficiency of the movement and position of the car contributes to the development of autonomous navigation technology. The purpose of this study is to get the best selection of banks in a better Hough transform technique to detect lane roads using edge detection techniques. For this study, Canny, Sobel and Prewitt edge detection is used as a trial. Selection of the best edge detection was using neural network techniques. Improved Hough Transform is used to extract features of a structured road. Point area near the straight line model adopted to accelerate the speed of calculation data and find the appropriate line. Prior knowledge is used in the process of finding a path to efficiently reduce the Hough space efficiently, thereby increasing the resistance by increasing the processing speed. Experiments provide good results in detecting straight and smooth fair curvature lane on highway even the hallways are painted shadows. Data from the lane highways have been taken in video format. Experiments have been done using an edge detection technique of choice in each scenario, and found that the best method of producing high accuracy of detection is to use intelligent edge detector. In this way, other people will be the best in certain cases scenarios lane highway.

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Detection of Blood Vessels in Optic Disc with Maximum Principal Curvature and Wolf Thresholding Algorithms for Vessel Segmentation and Prewitt Edge Detection and Circular Hough Transform for Optic Disc Detection

Iranian Journal of Science and Technology Transactions of Electrical Engineering ◽

10.1007/s40998-020-00367-9 ◽

2020 ◽

Author(s):

Erwin ◽

Tety Yuningsih

Keyword(s):

Edge Detection ◽

Blood Vessels ◽

Optic Disc ◽

Hough Transform ◽

Principal Curvature ◽

Vessel Segmentation ◽

Circular Hough Transform ◽

Prewitt Edge Detection

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Identification of Virus in Microscopic Image Using Genetic Algorithm

Asian Journal of Computer Science and Technology ◽

10.51983/ajcst-2019.8.s2.2031 ◽

2019 ◽

Vol 8 (S2) ◽

pp. 24-27

Author(s):

N. Senthilkumaran ◽

R. Preethi

Keyword(s):

Genetic Algorithm ◽

Image Segmentation ◽

Edge Detection ◽

Microscopic Image ◽

Canny Edge Detection ◽

Detection Techniques ◽

Canny Edge ◽

Sobel Edge Detection ◽

The Many ◽

Prewitt Edge Detection

In this paper describes a several techniques of effective edge detection by using image segmentation. The image segmentation provides various techniques to detect the edges on image. The paper mainly focused on edge detection using matlab parameters and solved the many problems. Edge detection techniques have a several type of techniques. We have taken microscopic image, which affects the human body by making diseases through viruses and bacteria’s. Now analyze only about the major techniques: a.) Roberts edge detection, b) sobel edge detection, c) prewitt edge detection, d) log (laplacian of gaussian) edge detection, e) genetic edge detection and f) canny edge detection. We have applied above five techniques which are used in edge detection and got a result on microscopic images. Hence, we scope this paper defines and compares the variety of techniques and demand assures the genetic algorithm provides a better performance on edge detection using microscopic image.

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Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi

Jurnal Rekayasa Elektrika ◽

10.17529/jre.v11i4.2405 ◽

2015 ◽

Vol 11 (4) ◽

pp. 144

Author(s):

Bulkis Kanata

Keyword(s):

Image Matching ◽

Cross Correlation ◽

Region Of Interest ◽

Fingerprint Recognition ◽

Fingerprint Matching ◽

Fingerprint Image ◽

Image Capture ◽

Matching Algorithm ◽

Specific Part ◽

Finger Pressure

<p>Fingerprint image matching is an important procedure in fingerprint recognition. Robust fingerprint image matching under a variety of different image capture conditions is difficult to achieve, because of changes in finger pressure, variation of the angle, etc. Fingerprint matching is very important for the development of fingerprint system recognition that is sensitive to finger pressure. This paper proposes a fingerprint matching algorithm that enables the so-called fingerprint template (extracted specific part (region of interest (ROI)) of a person’s fingerprints to be matched to the different fingerprint of the same person or different people taken on different time, angle and a different finger pressure using normalized cross-correlation (NCC). This algorithm was implemented in MATLAB. The results showed that the maximum NCC value for ROI of the source fingerprints and targets that was greater than 0.62 indicates a strong correlation or similarity.</p><p> </p>

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Research of Automatic Fingerprint Recognition Essential Algorithms

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.739 ◽

2011 ◽

Vol 135-136 ◽

pp. 739-742

Author(s):

Jin Hai Zhang

Keyword(s):

Identity Authentication ◽

Fingerprint Recognition ◽

Theoretical Research ◽

Identification System ◽

Fingerprint Matching ◽

Significant Progress ◽

Fingerprint Image ◽

Matching Algorithm ◽

Minutiae Extraction ◽

Extraction Algorithm

Fingerprint recognition has wide application prospect in all fields which contain identity authentication. Construction of accurate and reliable，safe and Practical automatic fingerprint identification system(AFIS) has become researc hotspot. Although theoretical research and application developmen of AFIS have got a significant Progress，accuracy of the algorithm and proeessing speeds till need to be improved. In this paper, fingerprint image preprocessing algorithms，fingerprint singular Points and minutiae extraction algorithm and fingerprint matching algorithm are analyzed and discussed in detail.

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