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Binarization converts gray scale image into binary image by image by fixing the threshold value. The pixel values above and below the threshold are set to 1 and 0 respectively. It’s the most critical task in the fingerprint matching system. The binarized image is thinned using block filter to reduce the thickness of all ridge lines to a single pixel width to extract minutiae points effectively. Thinning preserves outermost pixels by placing white pixels at the boundary of the image, as a result first five and last five rows, first five and last five columns are assigned value of one. The minutiae location and the minutiae angles are derived after minutiae extraction. To compare the input fingerprint data with the template data minutiae matching is used. Its use a minute features on the finger. The major minutiae features are ridge ending, bifurcation, and short ridge. The ridge ending is the point at which a ridge terminates. Single ridge splits into two ridges. Short ridges are ridges which are significantly shorter than the average ridge length on the fingerprint. Minutiae and patterns are very important in the analysis of fingerprints since no two fingers have been shown to be identical. During the matching process, each input minutiae point is compared with template minutiae point. 3. Finger Based Attendance System Student identification should be done by student’s finger print, for identification, the device scans the ridge and edge of the finger and creates a template. The system searches all the templates that are stored in the system database and matches with each saved template. Student’s fingerprints from the fingerprint scanner used as input. The fingerprint scanner can read fingerprints of any or more fingers of the both hands. The basic information was stored in the particular table and the fingerprints were in the template data table.
CONCLUSION This paper presented the related works and performance analysis for fingerprint biometric. This paper mainly comprised of development of attendance management system and fingerprint identification system. Attendance system management was made automated and online. There are some limitations of the fingerprint technology. In identification mode, biometric sample is taken for future recognition purpose and in verification mode. It is platform independent and results are very accurate. It gives a real time security system along with portability and low cost. REFERENCES 1. Zhang Yongqiang and Liu Ji, The design of wireless fingerprint attendance system, International Conference on CommunicationTechnogy, 2010. 2. Younhee Gil, Access Control System with high level security using fingerprints,IEEE the 32nd Applied Imagery Pattern Recognition Workshop (AIPR 09) 3. Jain, A.K., Hong, L., and Bolle, R(1997), On-Line Fingerprint Verification, IEEE Trans. On Pattern Anal And Machine Intell.
Page 2 and 3: A STUDY ON BIOMETRIC IMAGE PROCESSI
Page 6 and 7: MOBILE SENSING ON INTERNET OF THING
Page 8 and 9: 4) Feedback applications These inco
Page 10 and 11: e said as a factor which is seen he
Page 12 and 13: Net, process the quickening, separa
Page 14 and 15: 1. Regular Sensing A portion of the
Page 16 and 17: CONCLUSION This paper is an overvie
Page 18 and 19: SURVEY ON IMAGE PROCESSING METHODS
Page 20 and 21: transforming different sets of data
Page 22 and 23: evaluating the food products qualit
Page 24 and 25: AN OVERVIEW OF CLOUD COMPUTING R. T
Page 26 and 27: CHARACTERISTICS OF THE CLOUD ‣ Th
Page 28 and 29: differ in the amount of control tha
Page 30 and 31: Improved performance o With few lar
Page 32 and 33: o Sharing documents leads directly
Page 34 and 35: CONCLUSION To summarize, the cloud
Page 36 and 37: Image Acquisition Image Pre- Proces
Page 38 and 39: ARTIFICIAL NEURAL NETWORK Descripti
Page 40 and 41: Disadvantages 1. Result transparenc
Page 42 and 43: Fig. 1: A Fingerprint Clarification
Page 44 and 45: FINGERPRINT ACQUISITION DEVICES Thi
Page 46 and 47: This strategy naturally creates art
Page 48 and 49: from every member (thumb, fore, and
Page 50 and 51: STORING AND VISUALIZTION OF 3D MODE
Page 52 and 53: MRI what could be compared to impro
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A STUDY ON DIGITAL IMAGE PROCESSING
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TECHNOLOGY The first animation film
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ROAD TRAFFIC SURVEILLANCE AND ACCID
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There are numerous crisis circumsta
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2) Power supply The propose framewo
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B. Goal of Research To review break
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was done on two dataset VIRAT and M
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STUDY ON IMAGE PROCESSING IN SECURI
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OBJECT RECOGNITION Object recogniti
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CONCLUSION A banking locker securit
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INTRODUCTION In digital image proce
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3. TYPES OF DIGITAL CAMERA Com
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Most of the work done in image fore
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RAINFALL PREDICTION The paper is ab
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Also the cloud mask algorithm is us
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BIBLIOGRAPHY Watch "Intro
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INTRODUCTION In biological science,
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) Viral disease symptoms: Among all
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ANALYSIS ON NETWORK SECURITY S.Kart
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Data Integrity - assurance that dat
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those who know the particular key u
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CONCLUSION It's important to build
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A STUDY ON DIGITAL IMAGE PROCESSING
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Methodology This has two stages, fi
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REFERENCES 1) Digital Image Process
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VIRTUAL REALITY TECH AND WORKINGS A
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TABLE 2 PARTICULAR DIFFERS VIRTUAL
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The Big challenges in the field of
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STUDY ON REMOTE SENSING IN DIGITAL
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Scientists have made significant ad
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CONCLUSION Digital Image Processing
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By depiction, huge information in h
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Structured data denotes the tabular
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B. Algorithmic techniques Huge info
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Corridor laid out a strategy for bu
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subset can't be part and is for the
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REFERENCES 1. Alexandros Labrinidis
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