DocumentCode :
38505
Title :
Vertical Integration of Biometrics Across the Curriculum: Case Study of Speaker, Face and Iris Recognition
Author :
Ramachandran, Ravi P. ; Dahm, Kevin D. ; Nickel, Robert M. ; Kozick, Richard J. ; Shetty, Sachin S. ; Liang Hong ; Chin, Steven H. ; Polikar, Robi ; Ying Tang
Author_Institution :
Coll. of Eng., Rowan Univ., Glassboro, NJ, USA
Volume :
14
Issue :
3
fYear :
2014
fDate :
thirdquarter 2014
Firstpage :
55
Lastpage :
69
Abstract :
Vertical integration is a powerful curricular tool that allows students to better appreciate the interconnections among the concepts acquired and learned in different courses. It can be used to bring a modern topic at all levels of the undergraduate curriculum with little additional resources. This paper gives a brief survey of various vertical integration efforts and describes one effort at integrating biometrics throughout the curriculum. The focus is on three senior level projects (speaker, face and iris recognition) that not only rely on vertical integration but also reinforce design, software skills and knowledge of STEM concepts. The freshman through junior levels are also described. The assessment results show that students acquire specific learning outcomes and perceive the value of vertical integration.
Keywords :
computer science education; educational courses; educational institutions; engineering education; face recognition; iris recognition; speaker recognition; STEM concepts; biometrics; educational courses; engineering education; face recognition; iris recognition; science technology engineering and math concepts; speaker recognition; undergraduate curriculum; vertical integration; Biological system modeling; Biometrics; Education courses; Electrical engineering education; Iris recognition; Speech proceossing;
fLanguage :
English
Journal_Title :
Circuits and Systems Magazine, IEEE
Publisher :
ieee
ISSN :
1531-636X
Type :
jour
DOI :
10.1109/MCAS.2014.2333622
Filename :
6880933
Link To Document :
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