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Paramesran Raveendran: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Dongshik Kang, Paramesran Raveendran, Sigeru Omatu
    Algorithm to Discriminate between New and Used Bills Using a Neural Network. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1998, pp:367-372 [Conf]
  2. Tham Heng Keit, Paramesran Raveendran, Fumiaki Takeda, Yoshikazu Yoshida
    Neural Network Verification of Dynamic Signatures using Pressure Sensitive Pen. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:840-843 [Conf]
  3. Ramaswamy Palaniappan, Paramesran Raveendran
    N1-P2 Evoked Response as a Measure for Short-Term Visual Memory. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:545-548 [Conf]
  4. Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda, Takeo Tsuzuki, Hiroshi Kadota, Satoshi Shimanouchi
    Classification of Rice Grain Using New Scale Invariant Zernike Moments. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:832-835 [Conf]
  5. Ramaswamy Palaniappan, Paramesran Raveendran
    Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:1, pp:48-60 [Journal]
  6. Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu
    Neural Network Classification of Symmetrical and Nonsymmetrical Images Using New Moments with High Noise Tolerance. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:8, pp:1233-1250 [Journal]
  7. Paramesran Raveendran, Ramaswamy Palaniappan, Sigeru Omatu
    Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:130, n:1-4, pp:67-84 [Journal]
  8. Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
    New computational methods for full and subset Zernike moments. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:159, n:2, pp:203-220 [Journal]
  9. Chong-Yaw Wee, Paramesran Raveendran
    On the computational aspects of Zernike moments. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:6, pp:967-980 [Journal]
  10. Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu
    New Invariant Moments for Non-Uniformly Scaled Images. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2000, v:3, n:2, pp:78-87 [Journal]
  11. Pew-Thian Yap, Paramesran Raveendran
    An Efficient Method for the Computation of Legendre Moments. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:12, pp:1996-2002 [Journal]
  12. Chong-Yaw Wee, Paramesran Raveendran
    Efficient computation of radial moment functions using symmetrical property. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:11, pp:2036-2046 [Journal]
  13. Pew-Thian Yap, Paramesran Raveendran
    Eigenmoments. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:4, pp:1234-1244 [Journal]
  14. Pew-Thian Yap, Paramesran Raveendran, Seng-Huat Ong
    Image analysis by Krawtchouk moments. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:11, pp:1367-1377 [Journal]
  15. Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
    Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2007, pp:807-812 [Conf]
  16. Chong-Yaw Wee, Paramesran Raveendran
    Measure of image sharpness using eigenvalues. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:12, pp:2533-2552 [Journal]
  17. Pew-Thian Yap, Paramesran Raveendran, Seng-Huat Ong
    Image Analysis Using Hahn Moments. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:11, pp:2057-2062 [Journal]

  18. Fast Computation of Zernike Moments For Rice Sorting System. [Citation Graph (, )][DBLP]

  19. Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG. [Citation Graph (, )][DBLP]

  20. Two level PCA to reduce noise and EEG from evoked potential signals. [Citation Graph (, )][DBLP]

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