Review of Touch-Less Fingerprint Recognition Technologies (original) (raw)

Fingerprint recognition has aided variety of biometric security applications over past few decades. Each person possesses unique fingerprint characteristic in terms of minutia, pore, ridges and patterns. Based on data acquisition methods fingerprint recognition can be touch based or touch less, with later having advantage in terms of better hygiene, safety and stray fingerprints. In Touch-less fingerprint recognition, fingerprints are acquired using a high resolution digital camera or any other optical acquisition system. Such systems find applications in numerous fields such as secure access to laptops, computer systems, cellular phones, banking, ATMs etc. Deceiving the simple appearance various taxing, such as non-uniform light, movement blurriness, defocus and low contrast between ridges and valley etc. To overcome such problems, it is important to focus more on the pre-processing steps. Touch-less fingerprint detection can be classified as two-dimensional and three-dimensional methods depending upon number of cameras used for acquisition of finger-print image. Literature presents different techniques for acquisition and analysis of finger-print images. In this paper, an effort is being made to review some of these techniques and give a brief comparison for the same in terms of accuracy, merits, demerits and their respective solution.

Touch-less Fingerprint Recognition System

Touch-less Fingerprint Recognition System is a viable alternative to conventional touch based fingerprint recognition system. Fingerprint recognition is one of the application of biometrics that is used for identification of a person. In touch based sensing, many sensors were developed for fingerprint recognition purpose in which the user's fingerprint is placed on the sensor. Depending upon the pressure applied on a sensor by the person the input fingerprint from one and same finger can vary which may lead to problems like forgery and hygiene. Touch-less fingerprint technology is developed so that the problems in touch based sensing techniques can be depleted as this system avoids physical contact between a finger and sensor. Touch-less system is different from conventional system because they use digital camera to acquire the fingerprint image whereas in conventional system live acquisition technique is used. In touch-less fingerprint system we consider constraint of the fingerprint images that were acquired with the digital camera such as the low contrast between the ridges and valleys in the fingerprint images, motion blurriness and defocus. Touch-less system can be mainly divided into four major parts they are data acquisition, pre-processing, extraction of features and matching. In feature extraction, minutia from fingerprint images are extracted and in matching process the number of minutia pairings between two fingerprints is matched. This project is coded by using MATLAB software. Fingerprint recognition system has been widely adopted for verification purpose because of their reliability as compared to other biometric application. As fingerprint is believed to be unique for each person fingerprint recognition has found its application in various different fields.

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.

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.

Touchless Region based Palmprint Verification System

The Biometrics systems have been used for identification of a person with their physical structure or a behavioural characteristic. Palmprint is popular nowadays for identifying a person because of its ridges is big in size compared to fingerprint. A palmprint consists of three types of lines those are called principal lines, secondary lines, and wrinkles. These lines contain rich and robust information of a person which are used as a biometric. Palmprint verification systems are available in touch and touchless systems. The touchless system is preferable than touch based system for easy maintenance. In this research article, an effective touchless palmprint verification system is proposed for identification of a person. The proposed new model is developed by using Gabor filter and Local Binary Pattern (LBP) with their variant that is LBP-U, LBP-RI, and LBP-RIU. The experiment is carried out by using IITD palmprint database and CASIA palmprint database. The Gabor filter based on Rotation Invariant Uniform Local Binary Pattern (GFLBP-RIU) feature extraction technique has produced best total success rate (TSR) is equal to 99.25% and 99.00% in IITD palmprint database and CASIA database respectively. The proposed method takes 0.88 second for palmprint matching.

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