Dr. Shivanand  Gornale
Dr. Shivanand Gornale
Professor, Department of Computer Science, Rani Channamma University, Belagavi
Bestätigte E-Mail-Adresse bei rcub.ac.in - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Detection of Osteoarthritis using Knee X-Ray Image Analyses: A Machine Vision based Approach
S Gornale, P Patravalli, R Manza, R
International Journal of Computer Applications (0975 – 8887) Volume 145 – No …, 2016
352016
Mathematical morphology approach for genuine fingerprint feature extraction
V Humbe, SS Gornale, R Manza, KV Kale
International Journal of Computer Science and Security 1 (2), 45-51, 2007
34*2007
Analysis of fingerprint image for gender classification using spatial and frequency domain analysis
SS Gornale, CD Geetha, R Kruthi
American International Journal of Research in Science, Technology …, 2013
322013
Advances in computer vision and information technology
KV Kale
IK International Pvt Ltd, 2008
232008
Fingerprint based automatic human gender identification
J Sheetlani, R Pardeshi
Int. J. Comput. Appl 170 (7), 1-4, 2017
182017
Performance analysis of biorthogonal wavelet filters for lossy fingerprint image compression
SS Gornale, RR Manza, V Humbe, KV Kale
International Journal of Imaging Science and Engineering (IJISE) 1 (1), 2007
182007
A Survey on Exploration and Classification of Osteoarthritis Using Image Processing Techniques
S Gornale, P Patravalli, R Manza, R
International Journal of Scientific & Engineering Research, ISSN 2229-5518 7 …, 2016
172016
Study and analysis of various edge detection methods for X-ray images
GA Kudale, MD Pawar
International Journal of Computer Science and Application, 2010
172010
Determination of osteoarthritis using histogram of oriented gradients and multiclass SVM
SS Gornale, PU Patravali, KS Marathe, PS Hiremath
International Journal of Image, Graphics and Signal Processing 9 (12), 41, 2017
162017
Computer vision and information technology: advances and applications
RR Manza
IK International Pvt Ltd, 2010
152010
Fingerprint based Gender Identification using Discrete Wavelet Transform and Gabor Filters
G Shivanand, P Abhijit, C Veershetty
International Journal of Computer Applications (0975 – 8887) 152 (4), 34-37, 2016
14*2016
Fingerprint image de-noising using multi-resolution analysis (MRA) through stationary wavelet transform (SWT) method
SS Gornale, V Humbe, R Manza, KV Kale
International Journal of Knowledge Engineering 1 (1), 5-14, 2010
132010
Fingerprint Based Gender Classification Using Local Binary Pattern
G Shivanand, M Basavanna, R Kruthi
International Journal of Computational Intelligence Research 13 (2), 261-272, 2017
12*2017
Haralick Feature Descriptors for Gender Classification Using Fingerprints: A Machine Learning Approach
SS Gornale, M Hangarge, R P, K R
International Journal of Advanced Research in Computer Science and Software …, 2015
122015
Fingerprint based gender classification for biometric security: A state-of-the-art technique
SS Gornale
AIJRSTEM 9 (1), 39-49, 2015
122015
Transactions on Large-Scale Data-and Knowledge-Centered Systems XVIII
A Hameurlain, J Küng, R Wagner, H Decker, L Lhotska, S Link
Springer Berlin Heidelberg:., 2015
12*2015
Improvising MSN and PSNR for Finger-Print Image noised by GAUSSIAN and SALT & PEPPER
AK Dass, RK Shial, BS Gouda
The International Journal of Multimedia & Its Applications 4 (4), 59, 2012
102012
Study of Segmentation Techniques for Assessment of Osteoarthritis in Knee X-ray Images
Shivanand S. Gornale,Pooja U. Patravali,Archana M. Uppin, Prakash S. Hiremath
International Journal Image, Graphics and Signal Processing, 11 (2), 48-57, 2019
9*2019
Fusion of Local Binary Pattern and Local Phase Quantization features set for Gender Classification using Fingerprints”
Kruthi R, Abhijit Patil, Shivanand Gornale
International Journal of Computer Sciences and Engineering 7 (1), 22-29, 2019
92019
Automatic Human Gender Identification Using Palmprint
SS Gornale, A Patil, M Hangarge, R Pardesi
Smart Computational Strategies: Theoretical and Practical Aspects, 49-58, 2019
9*2019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20