Academic literature on the topic 'Handwritten'
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Journal articles on the topic "Handwritten"
Mohammed, Israa Bashir, Bashar Saadoon Mahdi, and Mustafa Salam Kadhm. "Handwritten signature identification based on MobileNets model and support vector machine classifier." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2401–9. http://dx.doi.org/10.11591/beei.v12i4.4965.
Full textMohammed, Israa Bashir, Bashar Saadoon Mahdi, and Mustafa Salam Kadhm. "Handwritten signature identification based on MobileNets model and support vector machine classifier." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2401–9. http://dx.doi.org/10.11591/eei.v12i4.4965.
Full textShinde, Jyoti, Chaitali Rajput, and Prof Mrunal Shidore Prof Milind Rane. "Handwritten Digit Recognition." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 608–11. http://dx.doi.org/10.31142/ijtsrd8384.
Full textŚNIEŻKO, DARIUSZ. "Handwritten Dedication." Autobiografia 15 (2020): 99–107. http://dx.doi.org/10.18276/au.2020.2.15-08.
Full textDonaldson, Laurie. "Handwritten circuits." Materials Today 14, no. 9 (September 2011): 379. http://dx.doi.org/10.1016/s1369-7021(11)70179-1.
Full textFirdous, Saniya. "Handwritten Character Recognition." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 1409–28. http://dx.doi.org/10.22214/ijraset.2022.42114.
Full textSingh, Priyanshu, Pranali Pawar, and Nikhil Raj. "Handwritten Digit Recognition." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 75–82. http://dx.doi.org/10.22214/ijraset.2022.42062.
Full textSaiteja, Jeisetti, Podila Srivally Rao, and P. Mani Bharadwaj. "HANDWRITTEN DIGIT RECOGNITION." International Journal of Computer Science and Mobile Computing 11, no. 1 (January 30, 2022): 45–54. http://dx.doi.org/10.47760/ijcsmc.2022.v11i01.007.
Full textAref, Walid, Daniel Barbará, and Padmavathi Vallabhaneni. "The handwritten trie." ACM SIGMOD Record 24, no. 2 (May 22, 1995): 151–62. http://dx.doi.org/10.1145/568271.223811.
Full textThomas, Achint Oommen, Amalia Rusu, and Venu Govindaraju. "Synthetic handwritten CAPTCHAs." Pattern Recognition 42, no. 12 (December 2009): 3365–73. http://dx.doi.org/10.1016/j.patcog.2008.12.018.
Full textDissertations / Theses on the topic "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.
Full textAllan, Jonathan. "Automated assessment of handwritten scripts." Thesis, Nottingham Trent University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430258.
Full textHiggins, C. A. "Automatic recognition of handwritten script." Thesis, University of Brighton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372081.
Full textLynch, Kathryn Anne. "Handwritten as an industrial body." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1329426394.
Full textMendes, Alexandra Sofia Ferreira. "Structured editing of handwritten mathematics." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/41239/.
Full textMatsakis, Nicholas E. (Nicholas Elias) 1976. "Recognition of handwritten mathematical expressions." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/16727.
Full textIncludes 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.
Full textEl 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.
Full textOliveira, Luiz Eduardo Soares. "Automatic recognition of handwritten numerical strings." Mémoire, Montréal : École de technologie supérieure, 2003. http://wwwlib.umi.com/cr/etsmtl/fullcit?pNQ85289.
Full text"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, and 房斌. "Verification of off-line handwritten signatures." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31241645.
Full textBooks on the topic "Handwritten"
Rainbow Cloud Rainbow Cloud Press. Handwritten Family Recipes: Create Your Own Handwritten Recipes Cookbook. Independently Published, 2018.
Find full textGissing, George. Demos: Handwritten Style. Independently Published, 2021.
Find full textYork, Catie. Handwritten for Her. Austin Macauley Publishers Ltd., 2020.
Find full textConrad, Joseph. Victory: Handwritten Style. Independently Published, 2021.
Find full textConrad, Joseph. Informer: Handwritten Style. Independently Published, 2021.
Find full textPeper. Handwritten Book Preschoolers. Independently Published, 2022.
Find full textRedburn: Handwritten Style. Independently Published, 2021.
Find full textBeetle: Handwritten Style. Independently Published, 2021.
Find full textYork, Catie. Handwritten for Her. Austin Macauley Publishers Ltd., 2020.
Find full textRudyard, Kipling. Kim: Handwritten Style. Independently Published, 2021.
Find full textBook chapters on the topic "Handwritten"
Pérez Castaño, Arnaldo. "Handwritten Digit Recognition." In Practical Artificial Intelligence, 461–78. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_12.
Full textNelli, Fabio. "Recognizing Handwritten Digits." In Python Data Analytics, 473–86. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3913-1_12.
Full textNelli, Fabio. "Recognizing Handwritten Digits." In Python Data Analytics, 311–16. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0958-5_11.
Full textNelli, Fabio. "Recognizing Handwritten Digits." In Python Data Analytics, 367–84. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9532-8_12.
Full textFrinken, Volkmar, and Horst Bunke. "Continuous Handwritten Script Recognition." In 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.
Full textKrishnan, Praveen, and C. V. Jawahar. "Matching Handwritten Document Images." In Computer Vision – ECCV 2016, 766–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46448-0_46.
Full textWatson, Mark. "Recognition of Handwritten Characters." In Common LISP Modules, 71–78. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3186-8_6.
Full textGarcia-Salicetti, Sonia, Nesma Houmani, Bao Ly-Van, Bernadette Dorizzi, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia, Claus Vielhauer, and Tobias Scheidat. "Online Handwritten Signature Verification." In 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.
Full textChakraborty, Partha, Syeda Surma Jahanapi, and Tanupriya Choudhury. "Bangla Handwritten Digit Recognition." In Cyber Intelligence and Information Retrieval, 149–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4284-5_14.
Full textLivshin, Igor. "Classification of Handwritten Digits." In Artificial Neural Networks with Java, 607–26. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7368-5_14.
Full textConference papers on the topic "Handwritten"
Albu, Felix, Mihaela Puica, and Daniela Hagiescu. "QUALITY EVALUATION APPROACHES OF THE FIRST GRADE CHILDREN'S HANDWRITTING." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-055.
Full textRussell, G., M. P. Perrone, Yi-min Chee, and A. Aiman Ziq. "Handwritten document retrieval." In Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition. IEEE, 2002. http://dx.doi.org/10.1109/iwfhr.2002.1030915.
Full textPittman, James A. "Recognizing handwritten text." In the SIGCHI conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/108844.108914.
Full textAref, Walid, Daniel Barbará, and Padmavathi Vallabhaneni. "The handwritten trie." In the 1995 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223784.223811.
Full textWang, Qingqing, and Yue Lu. "A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition." In 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.
Full textWahi, Amitabh, S. Sundaramurthy, and Poovizhi P. "Handwritten Tamil character recognition." In 2013 Fifth International Conference on Advanced Computing (ICoAC). IEEE, 2013. http://dx.doi.org/10.1109/icoac.2013.6921982.
Full textGovindaraju, Venu, Huaigu Cao, and Anurag Bhardwaj. "Handwritten document retrieval strategies." In The Third Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1568296.1568300.
Full textShirke, Archana, Nikunj Gaonkar, Paresh Pandit, and Kapil Parab. "Handwritten Gujarati Script Recognition." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441811.
Full text"REMOTE HANDWRITTEN SIGNATURE AUTHENTICATION." In 2nd International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001419203350339.
Full textAl-Taee, May Mowaffaq, Sonia Ben Hassen Neji, and Mondher Frikha. "Handwritten Recognition: A survey." In 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2020. http://dx.doi.org/10.1109/ipas50080.2020.9334936.
Full textReports on the topic "Handwritten"
Li, Yi, Yefeng Zheng, David Doermann, and Stefan Jaeger. Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada460371.
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 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 textMitchell, Renae, and 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), March 2023. http://dx.doi.org/10.2172/1960147.
Full textEpiphan, Jean, and 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, March 2023. http://dx.doi.org/10.36967/2297281.
Full textSavings 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, March 2021. http://dx.doi.org/10.47688/rba_archives_2006/21407.
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