Items where Author is "Kumar, G. H."

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Number of items: 18.

Article

Kavitha, A. S. and Shivakumara, P. and Kumar, G. H. and Tong Lu (2016) Text segmentation in degraded historical document images. Egyptian Informatics Journal, 17 (2). 189 - 197.

Kavitha, S. and Shivakumara, P. and Kumar, G. H. and Tan, C. L. (2015) A robust script identification system for historical Indian document images. MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 28 (4). pp. 283-300. ISSN 0127-9084

Raghavendra, R. and Dorizzi, B. and Rao, A. and Kumar, G. H. (2011) Designing efficient fusion schemes for multimodal biometric systems using face and palmprint. PATTERN RECOGNITION, 44 (5). pp. 1076-1088. ISSN 0031-3203

Raghavendra, R. and Dorizzi, B. and Rao, A. and Kumar, G. H. (2011) Particle swarm optimization based fusion of near infrared and visible images for improved face verification. PATTERN RECOGNITION, 44 (2). pp. 401-411. ISSN 0031-3203

Shivakumara,, P. and Kumar, G. H. and Guru, D. S. and Nagabhushan, P. (2006) Fourier transform based column-block and row-block matching procedure for document image mosaicing. Fuzzy Logic and Applications, 2955. pp. 240-254. ISSN 978-3-540-32683-0

Kumar, G. H. and Shivakumara, P. and Guru, D. S. and Nagabhushan, P. (2004) Document image mosaicing: A novel approach. sadhana academy proceedings in engineering sciences, 29 (3). pp. 329-341.

Book Section

Manohar, N. and Kumar, Y. H. S. and Kumar, G. H. and Rani, R. (2019) Deep Learning Approach for Classification of Animal Videos. In: Data Analytics and Learning: Proceedings of DAL 2018. UNSPECIFIED.

Kumuda, N. S. and Dinesh, M. S. and Kumar, G. H. (2016) Characterization of human fingernails using tterative thresholding segmentation. In: Proceedings of the Second International Conference on Computer and Communication Technologies. UNSPECIFIED. ISBN 9788132225263

Conference or Workshop Item

Talebi, S. and Manoj,, K. and Kumar, G. H. (2019) Building Knowledge Graph Based on User Tweets. In: UNSPECIFIED.

Manohar, N. and Kumar, Y. H. S. and Rani, R. and Kumar, G. H. (2019) Convolutional Neural Network with SVM for Classification of Animal Images. In: Proceedings of International Conference Emerging Research in Electronics, Computer Science and Technology ICERECT 2018.

Rashmi, C. and Kumar, G. H. (2019) A Parallel Programming Approach for Estimation of Depth in World Coordinate System Using Single Camera. In: Data Analytics and Learning: Proceedings of DAL 2018.

Raghunandan, K. S. and Chethana, B. M. K. and Kumar, G. H. and Sunil, C. (2018) Convolution neural network based deep features for text recognition in multi-type images. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Kumar, G. H. (2018) A Deep convolution neural network based model for enhancing text video frames for detection. In: International Conference on Intelligent Systems Design and Applications (ISDA 2017).

Sunil, C. and Raghunandan, K. S. and Chethan, H. K. and Kumar, G. H. (2018) Symbolic approach for word-level script classification in video frames. In: Second International Conference on Recent Trends in Image Processing and Pattern Recognition RTIP2R 2018.

Raghunandan, K. S. and Shivakumara, P. and Kumar, G. H. and Pal, U and Lu, T. (2017) Sharpness and contrast based features for word-wise video type classification. In: 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), NOVEMBER 26-29 2017, Nanjing, China.

Supreetha Gowda, H. D. and Kumar, G. H. (2016) Evaluation of texture features for biometric verification system using handvein and finger knuckleprint. In: First International Conference on Recent Trends in Image Processing and Pattern Recognition RTIP2R 2016.

Raghunandan, K. S. and Shivakumara, P. and Kumar, G. H. and Pal, U. and Lu, T. (2016) New sharpness features for image type classification based on textual information. In: 12th IAPR Workshop on Document Analysis Systems (DAS).

Shivakumara, P. and Kumar, G. H. and Guru, D. S. and Nagabhushan, P. (2004) An efficient skew estimation technique for binary document images based on boundary growing and linear regression analysis. In: NEURAL INFORMATION PROCESSING.

This list was generated on Thu Mar 4 21:28:53 2021 IST.