Characteristics and Application of the Fingerprint Recognition Systems (original) (raw)

A Critical Study on Fingerprint Image Sensing and Acquisition Technology

Automatic Fingerprint Recognition System (AFIS) mainly depends on the quality of the fingerprint captured during the enrollment process, even though a lot of techniques developed in literature for fingerprint matching, all most all system is influenced or affected by the quality of acquisition method. Automated fingerprint identification system requires fingerprint images in a special format. Normally it can't receive and process the photographic image or photo taken from virtual camera or cell camera. There are many special acquisition or sensing strategies to extract the ridge-and-valley structure of finger skin or fingerprint. Traditionally, in law or regulation enforcement packages, fingerprints were especially received offline. Fingerprint acquisition can be specially classified into groups as an offline and live scan. An offline acquisition technique gets input through inked affect of the fingertip on paper and digitized with the aid of the paper with an optical scanner or video digital camera. The live acquisition is received through the sensor that is having the ability to directly digitize the sensing tip of the finger. As the fingerprint sensing, image processing, signal processing, and communication technology advance, an increasing number of new technologies in this acquisition technology are arriving at the main facet. In this paper, we discuss different types of fingerprint acquisition technologies, which involve optical, ultrasonic, capacitance, passive capacitance, and active capacitance. This paper helps to identify new fingerprint acquisition technology.

Overview of Fingerprint Recognition System

— This article is an overview of a current research based on fingerprint recognition system. In this paper we highlighted on the previous studies of fingerprint recognition system. This paper is a brief review in the conceptual and structure of fingerprint recognition. The basic fingerprint recognition system consists of four stages: firstly, the sensor which is used for enrolment & recognition to capture the biometric data. Secondly, the pre-processing stage which is used to remove unwanted data and increase the clarity of ridge structure by using enhancement technique. Thirdly, feature extraction stage which take the input from the output of the pre-processing stage to extract the fingerprint features. Fourthly, the matching stage is to compare the acquired feature with the template in the database. Finally, the database which stores the features for the matching stags. The aim of this paper is to review various recently work on fingerprint recognition system and explain fingerprint recognition stages step by step and give summaries of fingerprint databases with characteristics.

General Examination of Fingerprint Recognition Algorithms System

The whole process of fingerprint recognition could be divided into 5 main steps:  Acquirement of fingerprint-The quality of acquired fingerprint is important for the fingerprint recognition. It is recommended to use a fingerprint sensor with a very good quality which could tolerate miscellaneous skin types, dumb humidity of the finger grain.

The practical result and basic aspects of fingerprint database system.

As we have learned, the biometric technologies are at the beginning of their board practical application. There are many biometric attributes, such as fingerprint face retina, iris, voice, etc., which can be used for the verification systems (access systems). At the moment, it seems that the most required system based on scum biometric verification method relates to personal document applications allowing a person to be verified or identified (in this case, its identity is unknown at the beginning), e.g. for border control purposes. However, we are not limited only to verification or identification systems: we can also integrate a biometric system into a cryptographic system (or otherwise) and thus obtain a Biometric Security System (which is the main theme of this dissertation).  Sensor Bergdata: FTE S e = 2.71 % Sensor SecuGen: FTE SG = 0.00 % • Sensor Veridicom: FTE SV =5.88% « Algorithm Bergdata: FTE AB -3.97 %  Algorithm Siemens: FTE AS = 3.98 %  Algorithm Veridicom: FTE AV = 0.72 %

A Review of Advanced Techniques and Technology to Detecting Fingerprint

— the human fingerprint have been key biometric technology providing authentication and security for last decades. Currently fingerprint detection technology used in almost every Smartphone and laptop manufacturing company also considering implementing fingerprints detection technology in laptop. It is preferred by the most of people due to its accuracy, reliability, distinctiveness, feasibility and acceptability. There is several technologies available in the market for scanning the image which works on different principle viz. optical unique fingers impression in which Optical fingers impression sensor works by catching a high definition image of the fingertip through light source. This sort of sensor has a specific kind of high resolution advanced camera. The upper layer of the sensor, where the finger is put, is known as the touch surface. After this layer is a light-producing phosphor layer which illuminates the surface of the finger. The light reflected from the edges and valleys of the finger and goes through that layer which catches a picture of the fingertip. Semiconductor likewise called capacitance unique mark sensors, this sensor additionally produces a picture of the edges and valleys of fingertip yet as opposed to detecting the example utilizing light, and it utilizes electrical current. Ultrasonic unique mark sensors, this sensor influences utilization of the standards of ultrasonography keeping in mind the end goal to make visual picture of the unique mark. Ultrasonic sensor utilizes high recurrence sound waves to create the example of fingertip. Here it measures the reflected sound wave to generate pattern.

Review of Strength of Fingerprint Information system.

Although the word "fingerprint" is popularly perceived as a synonym for individuality, the uniqueness of fingerprints is not a proven fact but an empirical observation. With the accepted widespread use of fingerprints, however, there is a rightfully growing public concern about the scientific basis associated with the uniqueness of fingerprints.

Fingerprint Recognition System

Fingerprints are one of the most mature bio-metric technologies and are considered legitimate proofs of evidence in courts of law all over the world. In recent times, more and more civilian and commercial applications are either using or actively considering using fingerprint-based identification because of the availability of inexpensive and compact solid state scanners as well as its superior and proven matching performance over other bio-metric technologies.

Arduino based Fingerprint Recognition System

2020

This article is an overview of current research based on fingerprint detection systems. In this paper we have emphasized previous studies of fingerprint detection systems. This paper has briefly reviewed it on the concept and structure of finger recognition. The basic fingerprint system consists of four stages: first, the sensor used for registration and recognition to enter biometric data. Second, the first stage of processing used to remove unwanted data and increase the clarity of the ridge structure through optimization techniques. Third, install a release section that takes the pre-processing phase output to extract finger features. Fourth, the corresponding section is to compare the detected feature and template in the database. Finally, a database that stores the attributes of the corresponding qualifiers. The purpose of this paper is to review various recent works on fingerprint recognition systems and describe the stages of fingerprint recognition acceptance step by step an...

An Intelligent Sensor for Fingerprint Recognition

Lecture Notes in Computer Science, 2005

In this paper an intelligent sensor for fingerprint recognition is proposed. The sensor has the objective to overcome some limits of the fingerprint recognition software systems, as elaboration time and security issues related to fingerprint transmission between sensor and processing unit. Intelligent sensor has been prototyped using the Hamster Secugen sensor for image acquisition and the Celoxica RC1000 board, employing a Xilinx VirtexE2000 FPGA, for image processing and analysis. Resources used, elaboration time as well the recognition rates in both verification and identification modes are reported in the paper. To the best of our knowledge, this is the first implementation for a full hardware implemented fingerprint recognition system.

An Efficient Approach for Robust Fingerprint Recognition System

In today’s society, the use of electronic commerce, transaction of monetary assets and daily use of email is rapidly increasing. Along with the increased ease of purchasing and selling, there is also an increase in fraud mostly from false identification. Solutions to this problem have been in the field of biometrics, using the person’s body as a form of identification. In particular, the uniqueness of fingerprints has made them very popular among law enforcement, banking establishments and commerce. Fingerprint identification using manual procedures has become a very common approach, but it has number of limitations like very low rate of positive identification, time consumption, mutilation of paper slips used for fingerprinting, etc.., rendering them ineffective. This has resulted in the dire need of speeding up the procedure and increasing its reliability by the use of computerized process. This paper addressing different procedures involved in acquisition of the fingerprint, operations of pre-processing to make the fingerprint compatible for feature extraction, feature extraction and finally authentication are discussed along with their associated difficulties.