Current distribution based power module screening by new normal/abnormal classification method with image processing

Author(s):  
Masanori Tsukuda ◽  
Daisuke Yuki ◽  
Hiroki Tomonaga ◽  
Hyoungseop Kim ◽  
Ichiro Omura
2007 ◽  
Vol 43 (4) ◽  
pp. 893-901 ◽  
Author(s):  
Christian Martin ◽  
Jean-Luc Schanen ◽  
Jean-Michel Guichon ◽  
Robert Pasterczyk

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ming Wu ◽  
Yubo Yuan

This paper presents a novel gender classification method based on geometry features of palm image which is simple, fast, and easy to handle. This gender classification method based on geometry features comprises two main attributes. The first one is feature extraction by image processing. The other one is classification system with polynomial smooth support vector machine (PSSVM). A total of 180 palm images were collected from 30 persons to verify the validity of the proposed gender classification approach and the results are satisfactory with classification rate over 85%. Experimental results demonstrate that our proposed approach is feasible and effective in gender recognition.


2017 ◽  
Vol 6 (10) ◽  
pp. 584-589 ◽  
Author(s):  
Takaaki Ibuchi ◽  
Eisuke Masuda ◽  
Tsuyoshi Funaki ◽  
Hirotaka Otake ◽  
Tatsuya Miyazaki ◽  
...  

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