Academic literature on the topic 'BINARIZATION TECHNIQUE'
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Journal articles on the topic "BINARIZATION TECHNIQUE"
Thepade, Sudeep, Rik Das, and Saurav Ghosh. "A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification." Journal of Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/439218.
Full textYu, Young-Jung. "Document Image Binarization Technique using MSER." Journal of the Korea Institute of Information and Communication Engineering 18, no. 8 (August 31, 2014): 1941–47. http://dx.doi.org/10.6109/jkiice.2014.18.8.1941.
Full textMAKRIDIS, MICHAEL, and N. PAPAMARKOS. "AN ADAPTIVE LAYER-BASED LOCAL BINARIZATION TECHNIQUE FOR DEGRADED DOCUMENTS." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 02 (March 2010): 245–79. http://dx.doi.org/10.1142/s0218001410007889.
Full textCHI, ZHERU, and QING WANG. "DOCUMENT IMAGE BINARIZATION WITH FEEDBACK FOR IMPROVING CHARACTER SEGMENTATION." International Journal of Image and Graphics 05, no. 02 (April 2005): 281–309. http://dx.doi.org/10.1142/s0219467805001768.
Full textPagare, Mr Aniket. "Document Image Binarization using Image Segmentation Technique." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1173–76. http://dx.doi.org/10.22214/ijraset.2021.36597.
Full textAbbood, Alaa Ahmed, Mohammed Sabbih Hamoud Al-Tamimi, Sabine U. Peters, and Ghazali Sulong. "New Combined Technique for Fingerprint Image Enhancement." Modern Applied Science 11, no. 1 (December 19, 2016): 222. http://dx.doi.org/10.5539/mas.v11n1p222.
Full textAdhari, Firman Maulana, Taufik Fuadi Abidin, and Ridha Ferdhiana. "License Plate Character Recognition using Convolutional Neural Network." Journal of Information Systems Engineering and Business Intelligence 8, no. 1 (April 26, 2022): 51–60. http://dx.doi.org/10.20473/jisebi.8.1.51-60.
Full textGarcía, José, Paola Moraga, Matias Valenzuela, Broderick Crawford, Ricardo Soto, Hernan Pinto, Alvaro Peña, Francisco Altimiras, and Gino Astorga. "A Db-Scan Binarization Algorithm Applied to Matrix Covering Problems." Computational Intelligence and Neuroscience 2019 (September 16, 2019): 1–16. http://dx.doi.org/10.1155/2019/3238574.
Full textRozen, Tal, Moshe Kimhi, Brian Chmiel, Avi Mendelson, and Chaim Baskin. "Bimodal-Distributed Binarized Neural Networks." Mathematics 10, no. 21 (November 3, 2022): 4107. http://dx.doi.org/10.3390/math10214107.
Full textJoseph, Manju, and Jijina K. P. Jijina K.P. "Simple and Efficient Document Image Binarization Technique For Degraded Document Images." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 217–20. http://dx.doi.org/10.15373/22778179/may2014/65.
Full textDissertations / Theses on the topic "BINARIZATION TECHNIQUE"
Ringdahl, Benjamin. "Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-87952.
Full textLowther, Scott Andrew. "Document sorting and logo recognition using image processing techniques." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36188/1/36188_Lowther_2002.pdf.
Full textKesiman, Made Windu Antara. "Document image analysis of Balinese palm leaf manuscripts." Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS013/document.
Full textThe collection of palm leaf manuscripts is an important part of Southeast Asian people’s culture and life. Following the increasing of the digitization projects of heritage documents around the world, the collection of palm leaf manuscripts in Southeast Asia finally attracted the attention of researchers in document image analysis (DIA). The research work conducted for this dissertation focused on the heritage documents of the collection of palm leaf manuscripts from Indonesia, especially the palm leaf manuscripts from Bali. This dissertation took part in exploring DIA researches for palm leaf manuscripts collection. This collection offers new challenges for DIA researches because it uses palm leaf as writing media and also with a language and script that have never been analyzed before. Motivated by the contextual situations and real conditions of the palm leaf manuscript collections in Bali, this research tried to bring added value to digitized palm leaf manuscripts by developing tools to analyze, to transliterate and to index the content of palm leaf manuscripts. These systems aim at making palm leaf manuscripts more accessible, readable and understandable to a wider audience and, to scholars and students all over the world. This research developed a DIA system for document images of palm leaf manuscripts, that includes several image processing tasks, beginning with digitization of the document, ground truth construction, binarization, text line and glyph segmentation, ending with glyph and word recognition, transliteration and document indexing and retrieval. In this research, we created the first corpus and dataset of the Balinese palm leaf manuscripts for the DIA research community. We also developed the glyph recognition system and the automatic transliteration system for the Balinese palm leaf manuscripts. This dissertation proposed a complete scheme of spatially categorized glyph recognition for the transliteration of Balinese palm leaf manuscripts. The proposed scheme consists of six tasks: the text line and glyph segmentation, the glyph ordering process, the detection of the spatial position for glyph category, the global and categorized glyph recognition, the option selection for glyph recognition and the transliteration with phonological rules-based machine. An implementation of knowledge representation and phonological rules for the automatic transliteration of Balinese script on palm leaf manuscript is proposed. The adaptation of a segmentation-free LSTM-based transliteration system with the generated synthetic dataset and the training schemes at two different levels (word level and text line level) is also proposed
DOBHAL, HEMU. "BINARIZATION TECHNIQUE FOR THE DEGRADED DOCUMENT IMAGES AND INSCRIPTION IMAGES." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15429.
Full textGao, Jhe-Wei, and 高哲偉. "Improving SIFT Matching Efficiency Using Hashing and Descriptor Binarization Techniques." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/zhrdjt.
Full text大同大學
資訊工程學系(所)
102
Scale-invariant feature transform (SIFT) is an algorithm in computer vision. Although it can achieve high accuracy in image matching, the speed of image matching is slow. The thesis presents a method that uses hashing and descriptor binarization to improve SIFT matching efficiency. Our method applies SIFT descriptor binarization to reduce the cost of image matching. It decreases the computational complexity with only a little loss of matching accuracy. Also, our method utilizes hashing to decrease the quantity of the matching pairs substantially and hence reduce the matching time. The experimental result demonstrates that, with only a small decrease in accuracy, the matching speed of our method is about 2500 times faster than that of SIFT linear matching. Moreover, our hashing method can be applied to other methods that adopt SIFT descriptor binarization.
Books on the topic "BINARIZATION TECHNIQUE"
Chaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. Exploring Image Binarization Techniques. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1907-1.
Full textSaeed, Khalid, Nabendu Chaki, and Soharab Hossain Shaikh. Exploring Image Binarization Techniques. Springer London, Limited, 2014.
Find full textSaeed, Khalid, Nabendu Chaki, and Soharab Hossain Shaikh. Exploring Image Binarization Techniques. Springer, 2014.
Find full textSaeed, Khalid, Nabendu Chaki, and Soharab Hossain Shaikh. Exploring Image Binarization Techniques. Springer (India) Private Limited, 2016.
Find full textBook chapters on the topic "BINARIZATION TECHNIQUE"
Chaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. "A New Image Binarization Technique Using Iterative Partitioning." In Exploring Image Binarization Techniques, 17–44. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1907-1_3.
Full textSokratis, Vavilis, Ergina Kavallieratou, Roberto Paredes, and Kostas Sotiropoulos. "A Hybrid Binarization Technique for Document Images." In Learning Structure and Schemas from Documents, 165–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22913-8_8.
Full textDatta, Soumik, Pawan Kumar Singh, Ram Sarkar, and MitaNasipuri. "A New Image Binarization Technique by Classifying Document Images." In Lecture Notes in Computer Science, 539–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45062-4_74.
Full textGatos, Basilios, Ioannis Pratikakis, and Stavros J. Perantonis. "An Adaptive Binarization Technique for Low Quality Historical Documents." In Document Analysis Systems VI, 102–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28640-0_10.
Full textAntony, P. J., C. K. Savitha, and U. J. Ujwal. "Efficient Binarization Technique for Handwritten Archive of South Dravidian Tulu Script." In Emerging Research in Computing, Information, Communication and Applications, 651–66. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4741-1_56.
Full textChoudhary, Amit, Savita Ahlawat, and Rahul Rishi. "A Neural Approach to Cursive Handwritten Character Recognition Using Features Extracted from Binarization Technique." In Complex System Modelling and Control Through Intelligent Soft Computations, 745–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12883-2_26.
Full textSaha, Satadal, Subhadip Basu, and Mita Nasipuri. "Binarization of Document Images Using Hierarchical Histogram Equalization Technique with Linearly Merged Membership Function." In Advances in Intelligent and Soft Computing, 639–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27443-5_74.
Full textChaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. "Introduction." In Exploring Image Binarization Techniques, 1–4. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1907-1_1.
Full textChaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. "A Comprehensive Survey on Image Binarization Techniques." In Exploring Image Binarization Techniques, 5–15. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1907-1_2.
Full textChaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. "A Framework for Creating Reference Image for Degraded Document Images." In Exploring Image Binarization Techniques, 45–63. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1907-1_4.
Full textConference papers on the topic "BINARIZATION TECHNIQUE"
Papamarkos, Nikos. "A technique for fuzzy document binarization." In the 2001 ACM Symposium. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/502187.502210.
Full textRanganatha D and Ganga Holi. "Hybrid binarization technique for degraded document images." In 2015 IEEE International Advance Computing Conference (IACC). IEEE, 2015. http://dx.doi.org/10.1109/iadcc.2015.7154834.
Full text"IMPROVED ADAPTIVE BINARIZATION TECHNIQUE FOR DOCUMENT IMAGE ANALYSIS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002057003170321.
Full textInbar, H., E. Marom, and N. Konforti. "Error diffusion binarization methods for joint transform correlators." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thq6.
Full textMousa, Usama W. A., Hossam E. Abd El Munim, and Mahmoud I. Khalil. "A Multistage Binarization Technique for the Degraded Document Images." In 2018 13th International Conference on Computer Engineering and Systems (ICCES). IEEE, 2018. http://dx.doi.org/10.1109/icces.2018.8639459.
Full textJindal, Harshit, Manoj Kumar, Akhil Tomar, and Ayush Malik. "Degraded Document Image Binarization using Novel Background Estimation Technique." In 2021 6th International Conference for Convergence in Technology (I2CT). IEEE, 2021. http://dx.doi.org/10.1109/i2ct51068.2021.9418084.
Full textMunshi, Paridhi, and Suman K. Mitra. "A rough-set based binarization technique for fingerprint images." In 2012 IEEE International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2012. http://dx.doi.org/10.1109/ispcc.2012.6224360.
Full textKamath K. M., Shreyas, Rahul Rajendran, Karen Panetta, and Sos Agaian. "A human visual based binarization technique for histological images." In SPIE Commercial + Scientific Sensing and Imaging, edited by Sos S. Agaian and Sabah A. Jassim. SPIE, 2017. http://dx.doi.org/10.1117/12.2262815.
Full textTamilselvan, S., and S. G. Sowmya. "Content retrieval from degraded document images using binarization technique." In 2014 International Conference On Computation of Power , Energy, Information and Communication (ICCPEIC). IEEE, 2014. http://dx.doi.org/10.1109/iccpeic.2014.6915401.
Full textSrivastava, Saumya, and Sudip Sanyal. "Unsupervised learning technique for binarization of gray scale text images." In 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030453.
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