The Applied Research On Fingerprint Recognition System Based On Matlab

With the advances in technology, as a fingerprint biometric technology has beenimproving, more and more people's attention and importance, not only the future of personalidentification an important part of its community in various fields, such as , Public security,armed forces, customs, transport, finance, industry and social security departments have awide range of applications.A fingerprint identification system including fingerprint image extraction (acquisition),and pre-feature extraction and matching, and so on, and fingerprint image feature extractionand pre-recognition system as a whole is at the core of this article introduced the system tofingerprint identification technology and Application of research on the establishment of afingerprint identification system and the need for significance, a Matlab tool used to solve thefingerprint identification technology approach, that is, through Matalb of CASIA fingerprintimage database extraction, partition, as well as the characteristics of the pre - Extraction, tomake full use of Matlab tool advantages: single-cylinder grammar, to learn, easy; a strongcomputing and graphics capabilities; there is a strong and diverse range of databases availabletoolbox, including this paper is closely related to the image toolbox; On a series of imagestaken to deal with.This article describes a set of Matlab based on the realization of the details of thefingerprint feature extraction methods, and gives the false and algorithms. Fingerprint featureextraction from the refinement after fingerprint details of the characteristics point to be (thatbifurcation point and end point), this feature points to contain a large number ofpseudo-identity, time-consuming and affect the accuracy of matching. Used and the distancefrom the edge of the false and false, so that the characteristics of pseudo-points havedecreased by almost 1/3, and then extract a reliable feature point, the experiment showed thatthe use of Matlab to realize this approach is simple and fast, but also has high accuracy . In this paper, through the fingerprint database of CASIA fingerprint image acquisition, tothe extraction of the fingerprint images in gray-scale filtering, image enhancement, binary, thevalue of the noise, such as pre-refinement, and then get a clear image of the fingerprint, Fromthe clear fingerprints of the fingerprint image to extract feature points (details), into thetemplate file. In fingerprint matching, using the same method to obtain a clear image of thefingerprint, than to build on the template, the template will be the last template file with thedetails of the use of match points than the algorithm right, arrive at the desired results.This article:1) outlined the history of fingerprint identification and study of the status quo and thecurrent actual situation, a study of fingerprint identification purpose and significance.2) In this paper, the fingerprint recognition technology are discussed in detail, including:a.Fingerprint Identification System workflow as shown in Figure 1:Figure 1 Fingerprint Identification System workflowb. collection of fingerprint technology:Optical fingerprint image capture technology, semiconductor fingerprint technology,ultrasonic fingerprint image acquisition technology.c. fingerprint image pre-processing methods:Fingerprint image enhancement, smoothing, binary, refinement.d. fingerprint feature extraction;e. fingerprint matching;Position Fingerprint, model matching area, singular point of matching characteristicsmatch point, the feature points of the match, the characteristics of the group match point.3) In this paper, Matlab tool for fingerprint identification system simulation software:a. use of Matlab on the image of the fingerprint was split to make its image with thebackground of the region separated; b. the use of Matlab on the pre-image: images filter to remove glitches and airSecond-processing and value-oriented processing, fingerprint images to make clear that theelimination of unnecessary noise in order to facilitate the further identification;c. the use of Matlab on the details of the fingerprint characteristics of the extraction point,the feature points contain a lot of pseudo-identity, time-consuming and affect the accuracy ofmatching. Used and the distance from the edge of the false and false, so that thecharacteristics of pseudo-points have decreased by almost 1 / 3, and then extract a reliablefeature points, in order to achieve the fingerprint match.In this paper, the fingerprint recognition system in the Matlab simulation carried out toachieve better research, there has been some result, a better future for the Study of automaticfingerprint identification system to lay the foundation. However, only the construction of theMatlab simulation, has not yet been completed throughout the Automated FingerprintIdentification System, and further study are the following:1. Matlab simulation of automatic fingerprint identification system in future research,you can add image acquisition equipment, add the Spartan 3E development board to completea full automatic fingerprint identification system, making it a more comprehensive, practical,strong fingerprint identification products;2. The fingerprint method also continue in-depth study, in a timely manner to theintroduction of more advanced fingerprint recognition technology;3. Automatic Fingerprint Identification System in far more applications, but because ofexpensive equipment or devices such as a variety of complex reasons, can not be universalaccess to a large area, the development of small portable mass fingerprint identificationdevice applications is urgent.4. Automatic Fingerprint Identification System Application vast prospects in the future inthe development of public security, armed forces, customs, transport, finance, social security,medical and other civilian and security control, and other industry sectors need to cooperate tofind the application of space.