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Artykuły w czasopismach na temat "Handwritten"
Mohammed, Israa Bashir, Bashar Saadoon Mahdi i Mustafa Salam Kadhm. "Handwritten signature identification based on MobileNets model and support vector machine classifier". Bulletin of Electrical Engineering and Informatics 12, nr 4 (1.08.2023): 2401–9. http://dx.doi.org/10.11591/beei.v12i4.4965.
Pełny tekst źródłaMohammed, Israa Bashir, Bashar Saadoon Mahdi i Mustafa Salam Kadhm. "Handwritten signature identification based on MobileNets model and support vector machine classifier". Bulletin of Electrical Engineering and Informatics 12, nr 4 (1.08.2023): 2401–9. http://dx.doi.org/10.11591/eei.v12i4.4965.
Pełny tekst źródłaShinde, Jyoti, Chaitali Rajput i Prof Mrunal Shidore Prof Milind Rane. "Handwritten Digit Recognition". International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (28.02.2018): 608–11. http://dx.doi.org/10.31142/ijtsrd8384.
Pełny tekst źródłaŚNIEŻKO, DARIUSZ. "Handwritten Dedication". Autobiografia 15 (2020): 99–107. http://dx.doi.org/10.18276/au.2020.2.15-08.
Pełny tekst źródłaDonaldson, Laurie. "Handwritten circuits". Materials Today 14, nr 9 (wrzesień 2011): 379. http://dx.doi.org/10.1016/s1369-7021(11)70179-1.
Pełny tekst źródłaFirdous, Saniya. "Handwritten Character Recognition". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 1409–28. http://dx.doi.org/10.22214/ijraset.2022.42114.
Pełny tekst źródłaSingh, Priyanshu, Pranali Pawar i Nikhil Raj. "Handwritten Digit Recognition". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 75–82. http://dx.doi.org/10.22214/ijraset.2022.42062.
Pełny tekst źródłaSaiteja, Jeisetti, Podila Srivally Rao i P. Mani Bharadwaj. "HANDWRITTEN DIGIT RECOGNITION". International Journal of Computer Science and Mobile Computing 11, nr 1 (30.01.2022): 45–54. http://dx.doi.org/10.47760/ijcsmc.2022.v11i01.007.
Pełny tekst źródłaAref, Walid, Daniel Barbará i Padmavathi Vallabhaneni. "The handwritten trie". ACM SIGMOD Record 24, nr 2 (22.05.1995): 151–62. http://dx.doi.org/10.1145/568271.223811.
Pełny tekst źródłaThomas, Achint Oommen, Amalia Rusu i Venu Govindaraju. "Synthetic handwritten CAPTCHAs". Pattern Recognition 42, nr 12 (grudzień 2009): 3365–73. http://dx.doi.org/10.1016/j.patcog.2008.12.018.
Pełny tekst źródłaRozprawy doktorskie na temat "Handwritten"
Masrour, Mohsen. "Quiz corrector : Handwritten digits recognition". Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-21615.
Pełny tekst źródłaAllan, Jonathan. "Automated assessment of handwritten scripts". Thesis, Nottingham Trent University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430258.
Pełny tekst źródłaHiggins, C. A. "Automatic recognition of handwritten script". Thesis, University of Brighton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372081.
Pełny tekst źródłaLynch, Kathryn Anne. "Handwritten as an industrial body". The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1329426394.
Pełny tekst źródłaMendes, Alexandra Sofia Ferreira. "Structured editing of handwritten mathematics". Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/41239/.
Pełny tekst źródłaMatsakis, Nicholas E. (Nicholas Elias) 1976. "Recognition of handwritten mathematical expressions". Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/16727.
Pełny tekst źródłaIncludes bibliographical references (leaves 58-59).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
In recent years, the recognition of handwritten mathematical expressions has received an increasing amount of attention in pattern recognition research. The diversity of approaches to the problem and the lack of a commercially viable system, however, indicate that there is still much research to be done in this area. In this thesis, I will describe an on-line approach for converting a handwritten mathematical expression into an equivalent expression in a typesetting command language such as TEX or MathML, as well as a feedback-oriented user interface which can make errors more tolerable to the end user since they can be quickly corrected. The three primary components of this system are a method for classifying isolated handwritten symbols, an algorithm for partitioning an expression into symbols, and an algorithm for converting a two-dimensional arrangements of symbols into a typeset expression. For symbol classification, a Gaussian classifier is used to rank order the interpretations of a set of strokes as a single symbol. To partition an expression, the values generated by the symbol classifier are used to perform a constrained search of possible partitions for the one with the minimum summed cost. Finally, the expression is parsed using a simple geometric grammar.
by Nicholas E. Matsakis.
S.B.and M.Eng.
Toledo, Testa Juan Ignacio. "Information extraction from heterogeneous handwritten documents". Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667388.
Pełny tekst źródłaEl objetivo de esta tesis es la extracción de Información de documentos total o parcialmente manuscritos, con una cierta estructura. Básicamente trabajamos con dos escenarios de aplicación diferentes. El primer escenario son los documentos modernos altamente estructurados, como los formularios. En estos documentos, la información semántica está pre-definida en campos con una posición concreta en el documento i la extracción de información es equivalente a una transcripción. El segundo escenario son los documentos semi-estructurados totalmente manuscritos, donde, además de transcribir, es necesario asociar un valor semántico, de entre un conjunto conocido de valores posibles, a las palabras manuscritas. En ambos casos, la calidad de la transcripción tiene un gran peso en la precisión del sistema. Por ese motivo proponemos modelos basados en redes neuronales para transcribir el texto manuscrito. Para poder afrontar el reto de los documentos semi-estructurados, hemos generado un benchmark, compuesto de dataset, una serie de tareas y una métrica que fue presentado a la comunidad científica a modo de competición internacional. También proponemos diferentes modelos basados en Redes Neuronales Convolucionales y Recurrentes, capaces de transcribir y asignar diferentes etiquetas semánticas a cada palabra manuscrita, es decir, capaces de extraer información.
The goal of this thesis is information Extraction from totally or partially handwritten documents. Basically we are dealing with two different application scenarios. The first scenario are modern highly structured documents like forms. In this kind of documents, the semantic information is encoded in different fields with a pre-defined location in the document, therefore, information extraction becomes equivalent to transcription. The second application scenario are loosely structured totally handwritten documents, besides transcribing them, we need to assign a semantic label, from a set of known values to the handwritten words. In both scenarios, transcription is an important part of the information extraction. For that reason in this thesis we present two methods based on Neural Networks, to transcribe handwritten text.In order to tackle the challenge of loosely structured documents, we have produced a benchmark, consisting of a dataset, a defined set of tasks and a metric, that was presented to the community as an international competition. Also, we propose different models based on Convolutional and Recurrent neural networks that are able to transcribe and assign different semantic labels to each handwritten words, that is, able to perform Information Extraction.
Fan, Rong. "Recognition of dates handwritten on cheques". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39986.pdf.
Pełny tekst źródłaOliveira, Luiz Eduardo Soares. "Automatic recognition of handwritten numerical strings". Mémoire, Montréal : École de technologie supérieure, 2003. http://wwwlib.umi.com/cr/etsmtl/fullcit?pNQ85289.
Pełny tekst źródła"Thesis presented to the École de technologie supérieure in partial fulfillment of the thesis requirement for the degree of philosophiae doctor in engineering". La numérotation de cet ouvrage est erronée. Bibliogr.: f. [149]-163. Également disponible en version électronique.
Fang, Bin, i 房斌. "Verification of off-line handwritten signatures". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31241645.
Pełny tekst źródłaKsiążki na temat "Handwritten"
Rainbow Cloud Rainbow Cloud Press. Handwritten Family Recipes: Create Your Own Handwritten Recipes Cookbook. Independently Published, 2018.
Znajdź pełny tekst źródłaGissing, George. Demos: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaYork, Catie. Handwritten for Her. Austin Macauley Publishers Ltd., 2020.
Znajdź pełny tekst źródłaConrad, Joseph. Victory: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaConrad, Joseph. Informer: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaPeper. Handwritten Book Preschoolers. Independently Published, 2022.
Znajdź pełny tekst źródłaRedburn: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaBeetle: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaYork, Catie. Handwritten for Her. Austin Macauley Publishers Ltd., 2020.
Znajdź pełny tekst źródłaRudyard, Kipling. Kim: Handwritten Style. Independently Published, 2021.
Znajdź pełny tekst źródłaCzęści książek na temat "Handwritten"
Pérez Castaño, Arnaldo. "Handwritten Digit Recognition". W Practical Artificial Intelligence, 461–78. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_12.
Pełny tekst źródłaNelli, Fabio. "Recognizing Handwritten Digits". W Python Data Analytics, 473–86. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3913-1_12.
Pełny tekst źródłaNelli, Fabio. "Recognizing Handwritten Digits". W Python Data Analytics, 311–16. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0958-5_11.
Pełny tekst źródłaNelli, Fabio. "Recognizing Handwritten Digits". W Python Data Analytics, 367–84. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9532-8_12.
Pełny tekst źródłaFrinken, Volkmar, i Horst Bunke. "Continuous Handwritten Script Recognition". W Handbook of Document Image Processing and Recognition, 391–425. London: Springer London, 2014. http://dx.doi.org/10.1007/978-0-85729-859-1_12.
Pełny tekst źródłaKrishnan, Praveen, i C. V. Jawahar. "Matching Handwritten Document Images". W Computer Vision – ECCV 2016, 766–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46448-0_46.
Pełny tekst źródłaWatson, Mark. "Recognition of Handwritten Characters". W Common LISP Modules, 71–78. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3186-8_6.
Pełny tekst źródłaGarcia-Salicetti, Sonia, Nesma Houmani, Bao Ly-Van, Bernadette Dorizzi, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia, Claus Vielhauer i Tobias Scheidat. "Online Handwritten Signature Verification". W Guide to Biometric Reference Systems and Performance Evaluation, 125–65. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-292-0_6.
Pełny tekst źródłaChakraborty, Partha, Syeda Surma Jahanapi i Tanupriya Choudhury. "Bangla Handwritten Digit Recognition". W Cyber Intelligence and Information Retrieval, 149–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4284-5_14.
Pełny tekst źródłaLivshin, Igor. "Classification of Handwritten Digits". W Artificial Neural Networks with Java, 607–26. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7368-5_14.
Pełny tekst źródłaStreszczenia konferencji na temat "Handwritten"
Albu, Felix, Mihaela Puica i Daniela Hagiescu. "QUALITY EVALUATION APPROACHES OF THE FIRST GRADE CHILDREN'S HANDWRITTING". W eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-055.
Pełny tekst źródłaRussell, G., M. P. Perrone, Yi-min Chee i A. Aiman Ziq. "Handwritten document retrieval". W Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition. IEEE, 2002. http://dx.doi.org/10.1109/iwfhr.2002.1030915.
Pełny tekst źródłaPittman, James A. "Recognizing handwritten text". W the SIGCHI conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/108844.108914.
Pełny tekst źródłaAref, Walid, Daniel Barbará i Padmavathi Vallabhaneni. "The handwritten trie". W the 1995 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223784.223811.
Pełny tekst źródłaWang, Qingqing, i Yue Lu. "A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/411.
Pełny tekst źródłaWahi, Amitabh, S. Sundaramurthy i Poovizhi P. "Handwritten Tamil character recognition". W 2013 Fifth International Conference on Advanced Computing (ICoAC). IEEE, 2013. http://dx.doi.org/10.1109/icoac.2013.6921982.
Pełny tekst źródłaGovindaraju, Venu, Huaigu Cao i Anurag Bhardwaj. "Handwritten document retrieval strategies". W The Third Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1568296.1568300.
Pełny tekst źródłaShirke, Archana, Nikunj Gaonkar, Paresh Pandit i Kapil Parab. "Handwritten Gujarati Script Recognition". W 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441811.
Pełny tekst źródła"REMOTE HANDWRITTEN SIGNATURE AUTHENTICATION". W 2nd International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001419203350339.
Pełny tekst źródłaAl-Taee, May Mowaffaq, Sonia Ben Hassen Neji i Mondher Frikha. "Handwritten Recognition: A survey". W 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2020. http://dx.doi.org/10.1109/ipas50080.2020.9334936.
Pełny tekst źródłaRaporty organizacyjne na temat "Handwritten"
Li, Yi, Yefeng Zheng, David Doermann i Stefan Jaeger. Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2006. http://dx.doi.org/10.21236/ada460371.
Pełny tekst źródłaGrother, 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.
Pełny tekst źródłaFuller, J. J., A. Farsaie i T. Dumoulin. Handwritten Character Recognition Using Feature Extraction and Neural Networks. Fort Belvoir, VA: Defense Technical Information Center, luty 1991. http://dx.doi.org/10.21236/ada238294.
Pełny tekst źródłaMitchell, Renae, i Nicholas Lewis. The woman behind the curious invention of modern software Klára Dán von Neumann’s handwritten letters confirm her legacy. Office of Scientific and Technical Information (OSTI), marzec 2023. http://dx.doi.org/10.2172/1960147.
Pełny tekst źródłaEpiphan, Jean, i Steven Handel. Trajectory of forest vegetation under contrasting stressors over a 26-year period, at Morristown National Historical Park: Focused condition assessment report. National Park Service, marzec 2023. http://dx.doi.org/10.36967/2297281.
Pełny tekst źródłaSavings Bank of New South Wales - Sydney (Head Office) - Secretarial - Legislation and Regulations - Handwritten book of Acts to establish the Savings Bank in N.S.W. & Port Phillip, includes consolidations and amending legislation. (Indexed) - 1832-1848. Reserve Bank of Australia, marzec 2021. http://dx.doi.org/10.47688/rba_archives_2006/21407.
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