Combining Evidence from Temporal and Spectral Features for Person Recognition Using Humming

2012 ◽  
pp. 321-328 ◽  
Author(s):  
Hemant A. Patil ◽  
Maulik C. Madhavi ◽  
Rahul Jain ◽  
Alok K. Jain
Keyword(s):  
Spectral Features ◽  
Person Recognition ◽  
Combining Evidence

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

Dialect Identification Using Tonal and Spectral Features in Two Dialects of Ao

2018 ◽  
Author(s):  
Moakala Tzudir ◽  
Priyankoo Sarmah ◽  
S R Mahadeva Prasanna
Keyword(s):  
Spectral Features

The deficit of letter processing in developmental dyslexia: combining evidence from dyslexics, typical readers and illiterate adults

2013 ◽  
Vol 17 (1) ◽  
pp. 125-141 ◽  
Author(s):  
Tânia Fernandes ◽  
Ana P. Vale ◽  
Bruno Martins ◽  
José Morais ◽  
Régine Kolinsky
Keyword(s):  
Developmental Dyslexia ◽  
Combining Evidence ◽  
Letter Processing ◽  
Illiterate Adults

Correlations of TCS and EELS spectral features for graphite, ZnSe(111) and CdTe(110)

1989 ◽  
Vol 213 (2-3) ◽  
pp. A218
Author(s):  
A. Dittmar-Wituski ◽  
M. Naparty ◽  
J. Skonieczny
Keyword(s):  
Spectral Features

scholarly journals Raman spectroscopic detection of interleukin-10 and angiotensin converting enzyme

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuo Zhang ◽  
Frederieke A. M. van der Mee ◽  
Roel J. Erckens ◽  
Carroll A. B. Webers ◽  
Tos T. J. M. Berendschot
Keyword(s):  
Angiotensin Converting Enzyme ◽  
Biomedical Applications ◽  
Interleukin 10 ◽  
Spectral Features ◽  
Converting Enzyme ◽  
Raman Spectroscopic ◽  
Non Invasive ◽  
Confocal Raman ◽  
First Time ◽  
Enzyme Characteristic

AbstractIn this report we present a confocal Raman system to identify the unique spectral features of two proteins, Interleukin-10 and Angiotensin Converting Enzyme. Characteristic Raman spectra were successfully acquired and identified for the first time to our knowledge, showing the potential of Raman spectroscopy as a non-invasive investigation tool for biomedical applications.

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