Olarik Surinta
Olarik Surinta
Multi-Agent Intelligent Simulation Laboratory (MISL), Faculty of Informatics, Mahasarakham
Verified email at msu.ac.th - Homepage
TitleCited byYear
Recognition of handwritten characters using local gradient feature descriptors
O Surinta, MF Karaaba, LRB Schomaker, MA Wiering
Engineering Applications of Artificial Intelligence 45, 405-414, 2015
Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition.
P Pawara, E Okafor, O Surinta, L Schomaker, M Wiering
ICPRAM, 479-486, 2017
A Comparison of Feature and Pixel-based Methods for Recognizing Handwritten Bangla Digits
O Surinta, L Schomaker, M Wiering
The Twelfth International Conference on Document Analysis and Recognition …, 2013
Image segmentation of historical handwriting from palm leaf manuscripts
O Surinta, R Chamchong
International Conference on Intelligent Information Processing, 182-189, 2008
Comparative study between deep learning and bag of visual words for wild-animal recognition
E Okafor, P Pawara, F Karaaba, O Surinta, V Codreanu, L Schomaker, ...
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
Handwritten Character Classification Using The Hotspot Feature Extraction Technique
O Surinta, L Schomaker, M Wiering
International Conference on Pattern Recognition Applications and Methods …, 2012
Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients.
MF Karaaba, O Surinta, LRB Schomaker, MA Wiering
VISIGRAPP (4: VISAPP), 582-589, 2016
Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words
O Surinta, MF Karaaba, TK Mishra, LRB Schomaker, MA Wiering
International Conference on Engineering Applications of Neural Networks (EANN), 2015
A* Path Planning for Line Segmentation of Handwritten Documents
O Surinta, M Holtkamp, F Karaaba, JP van Oosten, L Schomaker, ...
International Conference on Frontiers in Handwriting Recognition (ICFHR-2014 …, 2014
Optimization of line segmentation techniques for Thai handwritten documents
O Surinta
2009 Eighth International Symposium on Natural Language Processing, 180-183, 2009
Evaluating automatically parallelized versions of the support vector machine
V Codreanu, B Dröge, D Williams, B Yasar, P Yang, B Liu, F Dong, ...
Concurrency and Computation: Practice and Experience 28 (7), 2274-2294, 2016
Robust face recognition by computing distances from multiple histograms of oriented gradients
M Karaaba, O Surinta, L Schomaker, MA Wiering
2015 IEEE Symposium Series on Computational Intelligence, 203-209, 2015
Overview of handwritten Thai character recognition
O Surinta, L Schomaker
Lecture Notes Online, 2010
Handwritten Thai Character Recognition Using Fourier Descriptors and Robust C-Prototype
O Surinta, S Nitsuwat
Information Technology Journal 2 (1), 92-96, 2006
Tracking People and Objects with an Autonomous Unmanned Aerial Vehicle using Face and Color Detection
O Surinta, S Khruahong
In-Plane Rotational Alignment of Faces by Eye and Eye-Pair Detection
MF Karaaba, O Surinta, LRB Schomaker, MA Wiering
International Joint Conference on Computer Vision, Imaging and Computer …, 2015
Comparison of image analysis for Thai handwritten character recognition
O Surinta, C Jareanpon
International Conference on Intelligent Information Processing, 373-382, 2006
Handwritten Recognition with Neural Network
C Jareanpon, O Surinta
Proceeding of International Workshop on Advanced Image Technology (IWAIT 2006), 2006
Thai Handwritten Character Segmentation from Digital Image Documents
N Leesom, O Surinta
Mahasarakham Research, 2007
Multi-script Handwritten Character Recognition: Using Feature Descriptors and Machine Learning
O Surinta
University of Groningen, 2016
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