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 Special Issue on The Sustainable Development Goals

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Volume. 8 , November ,

Issue 8

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30th  November  2024

Vol. 8,  Special Issue(Bi-yearly)



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REVIEW PAPER ON DEEP LEARNING TECHNIQUES FOR BIOMERIC ATTENDANCE SYSTEM BY FACE DETECTION USING EYE RATINA




Abstract

Abstract: Every human have its unique identity and it is useful in technology for different purpose. Automatic identification

of an individual person based on a unique feature possessed by the individual. The entire universe every educational

institution is apprehensive in relation to the attendance of specifically since this has a repercussion on their

comprehensive accomplish. Generally attendance of students are conducted by signing on paper otherwise

calling student roll number which is extremely time shattering. There may be chance one student can give other

presents. For eliminate this problem one of the solutions is a attendance system which is biometric-based

this can automatically capture students attendance by perceiving student iris.

Iris identification is evaluated as one of the most liege, faultless and well planned biometric identification

system owing to the inner mannerism of iris, such as singularity., disobedience and time steady. Iris recognition is

contemplate as the most assured and inch-perfect biometric identification system convenient. Daugman developed patented

algorithms which uses by Most commercial iris recognition systems and this algorithms produce accurate recognition rates.

Keywords: Radius Calculation, Segmentation, Pattern recog, Iris biometrics, Authentication, nition, Active Camera, User

biometrics.

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Computer Science ,Electronics, Electrical  Engineering Information Technology, Civil, Computer Science and Engineering , Mechanical, Mechanical-Sandwich Petroleum, Production Instrumentation & Control, Automobile ,Chemical, Electronics Instrumentation& Control, Electronics & Telecommunication  Submit paper at oaijse@gmail.com



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