Academic literature on the topic 'Character recogniion'
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Journal articles on the topic "Character recogniion"
Jbrail, Mohammed Widad, and Mehmet Emin Tenekeci. "Character Recognition of Arabic Handwritten Characters Using Deep Learning." Journal of Studies in Science and Engineering 2, no. 1 (March 19, 2022): 32–40. http://dx.doi.org/10.53898/josse2022213.
Full textOmar, Bayan. "Individuality Representation in Character Recognition." Journal of University of Human Development 1, no. 2 (April 30, 2015): 300. http://dx.doi.org/10.21928/juhd.v1n2y2015.pp300-305.
Full textGuo, Chu Yu, Yuan Yan Tang, Zhen Chao Zhang, Bing Li, and Chang Song Liu. "An OCR Post-Processing Method Based on Dictionary Matching and Matrix Transforming." Applied Mechanics and Materials 427-429 (September 2013): 1861–65. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1861.
Full textDevaraj, Anjali Yogesh, Anup S. Jain, Omisha N, and Shobana TS. "Kannada Text Recognition." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 73–78. http://dx.doi.org/10.22214/ijraset.2022.46520.
Full textWu, Wei, Zheng Liu, Mo Chen, Zhiming Liu, Xi Wu, and Xiaohai He. "A New Framework for Container Code Recognition by Using Segmentation-Based and HMM-Based Approaches." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 01 (January 4, 2015): 1550004. http://dx.doi.org/10.1142/s0218001415500044.
Full textHUANG, JUN S., and PEI-MING HUANG. "MACHINE-PRINTED CHINESE CHARACTER RECOGNITION BASED ON LINEAR REGRESSION." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 01n02 (June 1991): 165–73. http://dx.doi.org/10.1142/s0218001491000119.
Full textTAN, JUN, XIAOHUA XIE, WEI-SHI ZHENG, and JIAN-HUANG LAI. "RADICAL EXTRACTION USING AFFINE SPARSE MATRIX FACTORIZATION FOR PRINTED CHINESE CHARACTERS RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 03 (May 2012): 1250005. http://dx.doi.org/10.1142/s021800141250005x.
Full textMasuhara, Tsukasa, Hideaki Kawano, Hideaki Orii, and Hiroshi Maeda. "Decorated Character Recognition Employing Modified SOM Matching." Applied Mechanics and Materials 103 (September 2011): 649–57. http://dx.doi.org/10.4028/www.scientific.net/amm.103.649.
Full textCHENG, FANG-HSUAN, and WEN-HSING HSU. "RESEARCH ON CHINESE OCR IN TAIWAN." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 01n02 (June 1991): 139–64. http://dx.doi.org/10.1142/s0218001491000107.
Full textRani, Vneeta, and Dr Vijay Laxmi. "Segmentation of Handwritten Text Document Written in Devanagri Script for Simple character, skewed character and broken character." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 1 (June 20, 2013): 686–91. http://dx.doi.org/10.24297/ijct.v8i1.3427.
Full textDissertations / Theses on the topic "Character recogniion"
Lau, Kin-keung. "Preprocessing and postprocessing techniques for improving the performance of a Chinese character recognition system /." [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13154345.
Full textWong, Chi-hung. "Hand-written Chinese character recognition by hidden Markov models and radical partition /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19669380.
Full text劉健強 and Kin-keung Lau. "Preprocessing and postprocessing techniques for improving the performance of a Chinese character recognition system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210375.
Full textWong, Chi-hung, and 黃志雄. "Hand-written Chinese character recognition by hidden Markov models andradical partition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31220058.
Full textAn, Kyung Hee. "Concurrent Pattern Recognition and Optical Character Recognition." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332598/.
Full textAbdelRaouf, Ashraf M. "Offline printed Arabic character recognition." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/12601/.
Full textCowell, J. R. "Character recognition in unconstrained environments." Thesis, Nottingham Trent University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277696.
Full textALVARENGA, EDUARDO PIMENTEL DE. "OPTICAL CHARACTER RECOGNITION FOR AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28690@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Sistemas de reconhecimento automático de placas (ALPR na sigla em inglês) são geralmente utilizados em aplicações como controle de tráfego, estacionamento, monitoração de faixas exclusivas entre outras aplicações. A estrutura básica de um sistema ALPR pode ser dividida em quatro etapas principais: aquisição da imagem, localização da placa em uma foto ou frame de vídeo; segmentação dos caracteres que compõe a placa; e reconhecimento destes caracteres. Neste trabalho focamos somente na etapa de reconhecimento. Para esta tarefa, utilizamos um Perceptron multiclasse, aprimorado pela técnica de geração de atributos baseada em entropia. Mostramos que é possível atingir resultados comparáveis com o estado da arte, com uma arquitetura leve e que permite aprendizado contínuo mesmo em equipamentos com baixo poder de processamento, tais como dispositivos móveis.
ALPR systems are commonly used in applications such as traffic control, parking ticketing, exclusive lane monitoring and others. The basic structure of an ALPR system can be divided in four major steps: image acquisition, license plate localization in a picture or movie frame; character segmentation; and character recognition. In this work we ll focus solely on the recognition step. For this task, we used a multiclass Perceptron, enhanced by an entropy guided feature generation technique. We ll show that it s possible to achieve results on par with the state of the art solution, with a lightweight architecture that allows continuous learning, even on low processing power machines, such as mobile devices.
Foullon, Perez Alejandro. "Optical character recognition with the SNT_Grid." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536972.
Full text黃伯光 and Pak-kwong Wong. "Multifont printed Chinese character recognition system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210600.
Full textBooks on the topic "Character recogniion"
Shah, Ashish. Character recognition. Manchester: University of Manchester, Departmentof Computer Science, 1997.
Find full textHirobumi, Nishida, and Yamada Hiromitsu, eds. Optical character recognition. New York: J. Wiley, 1999.
Find full textRice, Stephen V., George Nagy, and Thomas A. Nartker. Optical Character Recognition. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1.
Full textMoore, Caroline. Optical character recognition. London: Library & Information Technology Centre and British LibraryResearch & Development Department, 1990.
Find full textNational Bureau of Standards. Character set for handprinting: Category, hardware standard, subcategory, character recognition. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1985.
Find full textLi, Xiaolin. On-line handwritten Kanji character recognition. Birmingham: University of Birmingham, 1994.
Find full textMcCarthy, Anne S. Image character recognition (ICR): An introduction. Silver Spring, MD: Association for Information and Image Management, 1994.
Find full textH, Ogg Marlene, ed. Optical character recognition: A librarian's guide. Westport, CT: Meckler, 1992.
Find full textSuchenwirth, Richard, Jun Guo, Irmfried Hartmann, Georg Hincha, Manfred Krause, and Zheng Zhang. Optical Recognition of Chinese Characters. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-663-13999-7.
Full textRichard, Suchenwirth, ed. Optical recognition of Chinese characters. Braunschweig: Friedr. Vieweg, 1989.
Find full textBook chapters on the topic "Character recogniion"
Rajalingam, Mallikka. "Character Recognition." In Text Segmentation and Recognition for Enhanced Image Spam Detection, 71–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53047-1_5.
Full textAmin, Adnan, and Sameer Singh. "Optical character recognition: Neural network analysis of hand-printed characters." In Advances in Pattern Recognition, 492–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033271.
Full textBennamoun, M., and G. J. Mamic. "Optical Character Recognition." In Object Recognition, 199–220. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-3722-1_5.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Introduction." In Optical Character Recognition, 1–6. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_1.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Imaging Defects." In Optical Character Recognition, 7–60. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_2.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Similar Symbols." In Optical Character Recognition, 61–85. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_3.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Punctuation." In Optical Character Recognition, 87–111. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_4.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Typography." In Optical Character Recognition, 113–63. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_5.
Full textRice, Stephen V., George Nagy, and Thomas A. Nartker. "Conclusion." In Optical Character Recognition, 165–69. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1_6.
Full textSetlur, Srirangaraj, and Zhixin Shi. "Asian Character Recognition." In Handbook of Document Image Processing and Recognition, 459–86. London: Springer London, 2014. http://dx.doi.org/10.1007/978-0-85729-859-1_14.
Full textConference papers on the topic "Character recogniion"
Hou, Tianyu, Nicoletta Adamo, and Nicholas J. Villani. "Micro-expressions in Animated Agents." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001081.
Full textWu, Duan, Peng Gao, Dongying Hu, Ran Xu, Yue Qi, and Yumeng Zhang. "The Relationship Between Simplified Chinese Character Height and Cognition Research in Signage Design." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001608.
Full textPacaldo, Joren Mundane, Chi Wee Tan, Wah Pheng Lee, Dustin Gerard Ancog, and Haroun Al Raschid Christopher Macalisang. "Utilizing Synthetically-Generated License Plate Automatic Detection and Recognition of Motor Vehicle Plates in Philippines." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1022.
Full textChen, Jingye, Bin Li, and Xiangyang Xue. "Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/85.
Full textPrameela, N., P. Anjusha, and R. Karthik. "Off-line Telugu handwritten characters recognition using optical character recognition." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8212801.
Full textKoerich, A. L., and P. R. Kalva. "Unconstrained handwritten character recognition using metaclasses of characters." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1530112.
Full textJoe, Kevin George, Meghna Savit, and K. Chandrasekaran. "Offline Character recognition on Segmented Handwritten Kannada Characters." In 2019 Global Conference for Advancement in Technology (GCAT). IEEE, 2019. http://dx.doi.org/10.1109/gcat47503.2019.8978320.
Full textFang, Shancheng, Hongtao Xie, Jianjun Chen, Jianlong Tan, and Yongdong Zhang. "Learning to Draw Text in Natural Images with Conditional Adversarial Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/101.
Full textDu, Yongkun, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, and Yu-Gang Jiang. "SVTR: Scene Text Recognition with a Single Visual Model." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/124.
Full textBratić, Diana, and Nikolina Stanić Loknar. "AI driven OCR: Resolving handwritten fonts recognizability problems." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p82.
Full textReports on the topic "Character recogniion"
Kumar, Shailesh, Joydeep Ghosh, and Melba Crawford. A Bayesian Pairwise Classifier for Character Recognition. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada396131.
Full textDiniz, C., K. M. Stantz, M. W. Trahan, and J. S. Wagner. Character Recognition Using Genetically Trained Neural Networks. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/2287.
Full textGarris, M. D., C. L. Wilson, J. L. Blue, G. T. Candela, P. Grother, S. Janet, and R. A. Wilkinson. Massively parallel implementation of character recognition systems. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4750.
Full textWilkinson, R. Allen, Jon Geist, Stanley Janet, Patrick J. Grother, Christopher J. C. Burges, Robert Creecy, Bob Hammond, et al. The first census optical character recognition system conference. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4912.
Full textJanet, S., P. J. Grother, B. Hammond, N. W. Larsen, R. M. Klear, M. J. Matsko, C. J. C. Burges, et al. The second census optical character recognition systems conference. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5452.
Full textGrother, Patrick J. Karhunen Loeve feature extraction for neural handwritten character recognition. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4824.
Full textGriffiths, M., H. A. J. Russell, and C E Logan. Machine learning applied to geoscience: Geo-referenced character recognition. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/321092.
Full textFuller, J. J., A. Farsaie, and T. Dumoulin. Handwritten Character Recognition Using Feature Extraction and Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada238294.
Full textGarris, Michael D., and Charles L. Wilson. Reject mechanisms for massively parallel neural network character recognition systems. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4863.
Full textBarnes, C. S. Binary decision clustering for neural network based optical character recognition. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5542.
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