Relevant bibliographies by topics / Numeral Recognition / Dissertations / Theses
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Dissertations / Theses on the topic 'Numeral Recognition'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Legault, Raymond. "Unconstrained handwritten numeral recognition : a contribution towards matching human performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0004/NQ39794.pdf.

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2

Aktaruzzaman, M. "FEATURE EXTRACTION AND CLASSIFICATION THROUGH ENTROPY MEASURES." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/277947.

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Entropy is a universal concept that represents the uncertainty of a series of random events. The notion “entropy" is differently understood in different disciplines. In physics, it represents the thermodynamical state variable; in statistics it measures the degree of disorder. On the other hand, in computer science, it is used as a powerful tool for measuring the regularity (or complexity) in signals or time series. In this work, we have studied entropy based features in the context of signal processing. The purpose of feature extraction is to select the relevant features from an entity.
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3

Feray, Nicolas. "Reconnaissance de formes : application aux chiffres manuscrits." Rouen, 1995. http://www.theses.fr/1995ROUES028.

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Cette thèse traite de la reconnaissance des chiffres manuscrits hors lignes. Le système de reconnaissance propose est constitué de deux classifieurs fondamentalement différents. Les chapitres 3, 4 et 5 sont consacrés à l'étude du premier classifieur. Celui-ci analyse l'image du chiffre à reconnaître par l'intermédiaire de considérations locales sur sa forme. C'est pourquoi, nous qualifions de vision locale le mécanisme de perception du chiffre. Le choix des primitives et leur exploitation séquentielle par un arbre de décision sont rigoureux et basés sur le concept de l'information transmise pa
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4

Zhou, Jie. "Recognition and verification of unconstructed handwritten numerals." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0018/NQ47716.pdf.

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5

Oliveira, Luiz Eduardo Soares. "Automatic recognition of handwritten numerical strings." Mémoire, Montréal : École de technologie supérieure, 2003. http://wwwlib.umi.com/cr/etsmtl/fullcit?pNQ85289.

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Thèse (Ph.D.)--École de technologie supérieure, Montréal, 2003.<br>"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.
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6

Lee, Saebyul. "Independent Recognition of Numerosity Requires Attention." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429880349.

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7

Dey, Susan A. (Susan Annette) 1976. "Adding feedback to improve segmentation and recognition of handwritten numerals." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80059.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (leaves 68-69).<br>by Susan A. Dey.<br>S.B.and M.Eng.
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8

Chaudhry, Fawaz A. (Fawaz Altaf) 1978. "A system for offline automated recognition of unconstrained handwritten numerals." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86800.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (leaves 68-69).<br>by Fawaz A. Chaudhry.<br>M.Eng.and S.B.
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9

Meichsner, Alan. "Integer relation algorithms and the recognition of numerical constants." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61592.pdf.

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10

Aven, Matthew. "Daily Traffic Flow Pattern Recognition by Spectral Clustering." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1597.

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This paper explores the potential applications of existing spectral clustering algorithms to real life problems through experiments on existing road traffic data. The analysis begins with an overview of previous unsupervised machine learning techniques and constructs an effective spectral clustering algorithm that demonstrates the analytical power of the method. The paper focuses on the spectral embedding method’s ability to project non-linearly separable, high dimensional data into a more manageable space that allows for accurate clustering. The key step in this method involves solving a norm
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Nutakki, Gopi Chand. "Appearance Based Stage Recognition of Drosophila Embryos." TopSCHOLAR®, 2010. http://digitalcommons.wku.edu/theses/217.

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Stages in Drosophila development denote the time after fertilization at which certain specific events occur in the developmental cycle. Stage information of a host embryo, as well as spatial information of a gene expression region is indispensable input for the discovery of the pattern of gene-gene interaction. Manual labeling of stages is becoming a bottleneck under the circumstance of high throughput embryo images. Automatic recognition based on the appearances of embryos is becoming a more desirable scheme. This problem, however, is very challenging due to severe variations of illumination
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Liubavičius, Giedrius. "Autotransporto priemonių numerio atpažinimas vaizdų analizės metodu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090828_133729-31309.

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Iki šiol nėra bendro numerio atpažinimo algoritmo. Pateiktame dokumente analizuojamos esamų numerio atpažinimo algoritmų savybės, problemos. Pateiktas koreliacijos pagrindu grįstas algoritmas numerio vietos radimui bei numerio atpažinimui.<br>Till now there are no general license plate recognition algorithm. In the presented master paper: analysis of current licence plate recognition algorithms properties and problems. Correlation based licence plate locating and recognition algorithm.
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13

Dannenberg, Matthew. "Pattern Recognition in High-Dimensional Data." Scholarship @ Claremont, 2016. https://scholarship.claremont.edu/hmc_theses/76.

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Vast amounts of data are produced all the time. Yet this data does not easily equate to useful information: extracting information from large amounts of high dimensional data is nontrivial. People are simply drowning in data. A recent and growing source of high-dimensional data is hyperspectral imaging. Hyperspectral images allow for massive amounts of spectral information to be contained in a single image. In this thesis, a robust supervised machine learning algorithm is developed to efficiently perform binary object classification on hyperspectral image data by making use of the geometry of
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Rhys, Thomas Daniel Lewellin. "The development of fire hazard recognition algorithms using numerical modellling and artificial neural networks." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419373.

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15

McMillan, David Evans. "Time-varying linear prediction as a base for an isolated-word recognition algorithm." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45777.

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There is a vast amount of research being done in the area of voice recognition. A large portion of this research concentrates on developing algorithms that will yield higher accuracy rates; such as algorithms based on dynamic time warping, vector quantization, and other mathematical methods [l2][21][l5]. In this research, the evaluation of the feasibility of using linear prediction (LP) with time-varying parameters as a base for a voice recognition algorithm will be investigated. First the development of an anti-aliasing filter is discussed with some results from the filter hardware realiza
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Girjotas, Andrius. "Transporto priemonių numerių atpažinimo algoritmų analizė bei universalios atpažinimo sistemos teorija." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20140702_193526-52512.

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Automatinis transporto priemonių registracijos numerio atpažinimas atlieka svarbų vaidmenį daugelyje programinių paketų, taikomų tiek valstybinėse institucijose, tiek ir privačiose kompanijose, kuriuose yra naudojamos įvairios atpažinimo algoritmų technologijos. Tačiau net ir dabar neįmanoma sukurti idealiai veikiančios sistemos, kuri palieka laisvę efektyviausių algoritmų paieškai. Šio tiriamojo darbo tikslas yra išanalizuoti alternatyvius automobilio numerio lokalizacijos ir kitų atpažinimo etapų algoritmus, jų efektyvumą bei adaptyvumą. Analizė atliekama juos realizuojant ir atliekant tyrim
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Kazlauskas, Tomas. "Transporto priemonių numerių atpažinimo algoritmų analizė bei universalios atpažinimo sistemos teorija." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20140702_193534-66751.

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Automatinis transporto priemonių registracijos numerio atpažinimas atlieka svarbų vaidmenį daugelyje programinių paketų, taikomų tiek valstybinėse institucijose, tiek ir privačiose kompanijose, kuriuose yra naudojamos įvairios atpažinimo algoritmų technologijos. Tačiau net ir dabar neįmanoma sukurti idealiai veikiančios sistemos, kuri palieka laisvę efektyviausių algoritmų paieškai. Šio tiriamojo darbo tikslas yra išanalizuoti alternatyvius automobilio numerio lokalizacijos ir kitų atpažinimo etapų algoritmus, jų efektyvumą bei adaptyvumą. Analizė atliekama juos realizuojant ir atliekant tyrim
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18

Bagušinskas, Donatas. "Automobilio numerio identifikavimo algoritmai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_135256-26171.

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Šiame darbe aprašytas automobilio numerio identifikavimo uždavinys, šio uždavinio skaidymas į smulkesnes užduotis, tokias kaip numerio lokalizavimas nuotraukoje, numerio suskaidymas į atskirus simbolius, bei rastų simbolių identifikavimas. Kiekvienai šiai užduočiai realizuota po du algoritmus. Numerio lokalizavimo algoritmai remiasi kontūrų išskyrimu ir spalvų intensyvumu, bei morfologinėmis operacijomis nuotraukoje. Surasto numerio skaidymo į simbolius algoritmai remiasi statistiniu pasiskirstymu bei objektų išskyrimu. Simboliams atpažinti panaudota koreliacijos skaičiavimas tarp šablonų ir a
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19

Giles, James A. "Analysis of Digital Logic Schematics Using Image Recognition." UNF Digital Commons, 1997. http://digitalcommons.unf.edu/etd/425.

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This thesis presents the results of research in the area of automated recognition of digital logic schematics. The adaptation of a number of existing image processing techniques for use with this kind of image is discussed, and the concept of using sets of tokens to represent the overall drawing i s explained in detail. Methods are given for using tokens to describe schematic component shapes, to represent the connections between components, and to provide sufficient information to a parser so that an equation can be generated. A Microsoft Windows-based test program which runs under Windows 95
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20

Sadek, Rida. "Some problems on temporally consistent video editing and object recognition." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/101413.

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Video editing and object recognition are two significant fields in computer vi- sion: the first has remarkably assisted digital production and post-production tasks of a digital video footage; the second is considered fundamental to image classification or image based search in large databases (e.g. the web). In this thesis, we address two problems, namely we present a novel formulation that tackles video editing tasks and we develop a mechanism that allows to generate more robust descriptors for objects in an image. Concerning the first problem, this thesis proposes two variational mod
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21

Bilger, Camille. "Numerical investigation of liquid film dynamics and atomisation in jet engine fuel injectors." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274203.

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Today’s aerospace industry continues to exploit liquid hydrocarbon fossil fuels. Motivated by operational considerations, continued availability and cost, this is likely to be the case for many years, despite the obvious environmental concerns. The interplay of liquid atomisation, spray vaporisation and the combustion process are intricately linked. However, the physical process of fuel injection and its atomisation into tiny droplets prior to combustion remains poorly understood. Because atomisation governs the size of the fuel droplets, and therefore their subsequent evaporation rate, adjust
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22

Roll, Marika JoBeth. "Effects of Drill-Based Therapy on the Recognition and Transcoding of Arabic Numerals in an Adult with Chronic Aphasia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1428498660.

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23

González-Huici, María [Verfasser]. "Accurate Ground Penetrating Radar Numerical Modeling for Automatic Detection and Recognition of Antipersonnel Landmines / María González-Huici." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1045276545/34.

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24

Laptik, Raimond. "Automobilių registracijos numerių atpažinimo tyrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2005. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050617_085253-23696.

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In the presented master paper: Analysis of car number plate recognition, optical character recognition (OCR), OCR software, OCR devices and systems are reviewed. Image processing operators and artificial neural networks are presented. Analysis and application of image processing operators for detection of number plate is done. Experimental results of estimation of Kohonen and multilayer feedforward artificial neural network learning parameters are presented. Number plate recognition is performed by the use of multilayer feedforward artificial neural network. Model of number plate recognition s
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Napier, Christopher Cameron. "Crop Yield using Novel Parametric L-system plant modelling." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2907.

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This research considers a system for the recognition of real plant parts through image analysis based upon synthetic plant modelling. It aims to use data pipelines and synthetic datasets to define recognizable features that assist in the efficient analysis of real plants and plant images. This research asks about the efficacy of L-systems in accurately simulating wheat crop characteristics. It specifically focusses on readable, understandable, accurate, and complex L-system algorithms. The research examines wheat crops in terms of phenotypes and examines the accuracy of a dataset in support of
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Smělý, Pavel. "Rozpoznávání hudební nálady a emocí za pomoci technik Music Information Retrieval." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401982.

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This work focuses on scientific area called Music Information Retrieval, more precisely it’s subdivision focusing on the recognition of emotions in music called Music Emotion Recognition. The beginning of the work deals with general overview and definition of MER, categorization of individual methods and offers a comprehensive view of this discipline. The thesis also concentrates on the selection and description of suitable parameters for the recognition of emotions, using tools openSMILE and MIRtoolbox. A freely available DEAM database was used to obtain the set of music recordings and their
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Hirsch, Gérard. "Équations de relation floue et mesures d'incertain en reconnaissance de formes." Nancy 1, 1987. http://www.theses.fr/1987NAN10030.

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Il est appelé que le sylogisme indirect n'est pas parfait quelque soit l'opérateur de composition floue. Un opérateur de maximalisation (ou de minimalisation) est déterminé pour la composition sup-T norme (ou INF-T conorme). Après la reprise des résultats des mesures d'incertain il est donné une application numérique au problème de classification des phonèmes
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Salimi-Khorshidi, Gholamreza. "Statistical models for neuroimaging meta-analytic inference." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:40a10327-7f36-42e7-8120-ae04bd8be1d4.

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A statistical meta-analysis combines the results of several studies that address a set of related research hypotheses, thus increasing the power and reliability of the inference. Meta-analytic methods are over 50 years old and play an important role in science; pooling evidence from many trials to provide answers that any one trial would have insufficient samples to address. On the other hand, the number of neuroimaging studies is growing dramatically, with many of these publications containing conflicting results, or being based on only a small number of subjects. Hence there has been increas
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Gigan, Daniel. "Modélisation des comportements d'un pilote expert en situation de collision en vol vers une nouvelle technologie "voir et éviter" pour les drones : Pour un fonctionnalisme holistique à vocation intégrative." Thesis, Toulouse, ISAE, 2013. http://www.theses.fr/2013ESAE0022.

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Le principe du “Voir et Eviter” est un principe essentiel pour la sécurité de l'espace aérienet nécessaire pour l'insertion des drones dans la Circulation Aérienne Générale (CAG). Lessolutions actuelles ne permettent pas toujours d'appliquer le principe du "Voir et Eviter" etn'assurent pas, par leurs actions d'évitements, une cohabitation sans risques des drones et desavions pilotés dans la CAG. Ces mêmes solutions ne permettent pas, avec un seul capteurpassif, la détermination, à tout moment, du temps restant avant collision. Ce temps estessentiel pour qualifier la dangerosité de la situation
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Almansa, Andrés. "Echantillonnage, interpolation et détection : applications en imagerie satellitaire." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2002. http://tel.archives-ouvertes.fr/tel-00665725.

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Cette thèse aborde quelques-uns des problèmes qui surviennent dans la conception d'un système complet de vision par ordinateur : de l'échantillonnage à la détection de structures et leur interprétation. La motivation principale pour traiter ces problèmes a été fournie par le CNES et la conception des satellites d'observation terrestre, ainsi que par les applications de photogrammétrie et vidéo-surveillance chez Cognitech, Inc. pendant les étapes finales de ce travail, mais les techniques développées sont d'une généralité suffisante pour présenter un intérêt dans d'autres systèmes de vision par
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Malmgren, Henrik. "Revision of an artificial neural network enabling industrial sorting." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.

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Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system.The findings indicate that it's important to use spatial variety dropout regularization for high resolution image inputs, and use an optimizer configuration with good convergence properties. T
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Bhargav, S. "Handwritten Devanagari numeral recognition." Thesis, 2014. http://ethesis.nitrkl.ac.in/6477/1/e-35.pdf.

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Optical character recognition (OCR) plays a very vital role in today’s modern world. OCR can be useful for solving many complex problems and thus making human’s job easier. In OCR we give a scanned digital image or handwritten text as the input to the system. OCR can be used in postal department for sorting of the mails and in other offices. Much work has been done for English alphabets but now a day’s Indian script is an active area of interest for the researchers. Devanagari is on such Indian script. Research is going on for the recognition of alphabets but much less concentration is given o
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Chen, Yueting. "Handwritten numeral recognition using multiwavelets." Thesis, 2002. http://spectrum.library.concordia.ca/1812/1/MQ72929.pdf.

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In this report, we review different techniques for handwritten numeral recognition. More importantly we develop and test a hand-written numeral recognition system using multiwavelets. Given a black-and-white numeral, we first trace the contour of the numeral. Secondly we normalize and resample the contour points. Thirdly we perform multiwavelet orthonormal shell expansion on the contour points and we get several resolution levels and the average. We use the multiwavelet coefficients as the features to recognize the hand-written numerals. We use the L1 distance as a measure and the nearest neig
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李健宏. "Off-line Handwritten Numeral Recognition." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/53649071798915257751.

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碩士<br>國立臺灣師範大學<br>工業教育學系在職進修碩士班<br>91<br>Recognition of off-line handwritten numerals has been the subject of research for many years. Since handwritten numerals widely vary in their shapes, recognizing them has been difficult and challenging. Although a high level of recognition has been achieved, the shortcomings of time-consuming learning and recognition still persist. The present research focuses on overcoming these defects, while maintaining a high recognition level. The research discussed in the present paper makes use of the MNIST database for learning and testing. For featur
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Wang, Kuo-Chuan, and 王國全. "Implementation of Handwritten Numeral Recognition in Space." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/10028335107564825731.

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碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>101<br>This paper achieves the implementation of hand gesture digit recognition function by using the body motion sensor. The interactive motion-sensing technology is used to record the handwritten numerals in space. Then it converts the trajectories of handwritten numerals into corresponding shapes of digits. A feature matching method is also used to conduct the digit recognition. In the recognition process, the character area is used for extraction firstly. Then the image processing and recognition, binarization and Hilditch thinning algorithm are performed on t
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Poddar, Sourav, and Saurabh Kumar Sahoo. "Study and Development of Handwritten Numeral Character Recognition." Thesis, 2015. http://ethesis.nitrkl.ac.in/7138/1/Study_Poddar_2015.pdf.

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Image processing is basically used to extract useful information from any input image. Recognition has a very important role in image processing. In this exploration work, we have concentrated on the recognition of the handwritten numeral characters. Neural Network is used for recognizing the different handwritten numerals. Our method comprises of three stages and they are pre-processing, training and recognition. Pre-processing stages includes removal of noise, binarization, re-scaling and finding the skeleton of an image. Skew correction is also used for segmenting the different characters i
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Prakash, Shree. "Gesture-based Numeral Extraction and Recognition Shree Prakash." Thesis, 2014. http://ethesis.nitrkl.ac.in/6600/1/611CS106.pdf.

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In this work the extraction of numerals and recognition is done using gesture. Gestures are elementary movements of a human body part, and are the atomic components describing the meaningful motion of a person. It is of utmost importance in designing an intelligent and efficient human-computer interface. Two approaches are proposed for the extraction of numeral from gesture. In the first approach, numerals are formed using the finger gesture. The movement of the finger gesture is identified using optical flow method. A view-specific representation of movement is constructed, where movement is
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Sadri, Javad. "Automatic segmentation and recognition of unconstrained handwritten numeral strings." Thesis, 2007. http://spectrum.library.concordia.ca/975345/1/NR31139.pdf.

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Segmentation and recognition of handwritten numeral strings is a very interesting and challenging problem in pattern recognition. It also has a lot of important applications such as: postal code recognition, bank check processing; tax form reading, etc. In this thesis, a new system for the segmentation and recognition of unconstrained handwritten numeral strings is proposed. The system uses a combination of foreground and background features for the segmentation of touching numerals in strings. The method introduces new algorithms for the traversal of top and bottom foreground and background s
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Choudhary, Akash. "Hand-written English numeral recognition system using neural network." Thesis, 2014. http://ethesis.nitrkl.ac.in/6479/1/E-33.pdf.

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This thesis aims at implementing an algorithm for recognition of hand-written English numeral. Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. In this thesis the digits are classified into two groups, one group comprises of blobs with/without stems and the other digits with stems only. The blobs are identified based on a new concept called morphological region filling technique. This eliminates the issue of finding the size of blobs and their structuring elements. This method completely eliminates the c
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Alamri, Huda. "Recognition of off-line arabic handwritten dates and numeral strings." Thesis, 2009. http://spectrum.library.concordia.ca/976645/1/MR63149.pdf.

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In this thesis, we present an automatic recognition system for CENPARMI off-line Arabic handwritten dates collected from Arabic Nationalities. This system consists of modules that segment and recognize an Arabic handwritten date image. First, in the segmentation module, the system explicitly segments a date image into a sequence of basic constituents or segments. As a part of this module, a special sub-module was developed to over-segment any constituent that is a candidate for a touching pair. The proposed touching pair segmentation submodule has been tested on three different datasets of han
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Pan, Wei-Chih, and 潘維治. "Application of the Region Growing Algorithm on Handwritten Numeral Recognition." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/83769015283833014301.

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碩士<br>大同大學<br>資訊工程學系(所)<br>92<br>In the handwritten numeral recognition system, researchers use a lot of features to help the recognition process, such as end points, fork points, strokes, circles, etc. These features were extracted from the original image as the basis for the numeral recognition. In this thesis, we propose a handwritten numeral recognition algorithm that based on the Region Growing algorithm, which is often applied in the image retrieval researches. With proper modification, this algorithm can also be applied to the handwritten numeral recognition. The Region Growing algorith
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Kambar, Sapargali. "Generating synthetic data by morphing transformation for handwritten numeral recognition (with v-SVM)." Thesis, 2005. http://spectrum.library.concordia.ca/8504/1/MR10288.pdf.

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The amount of training data is one of the critical factors affecting the performance of handwritten numeral recognition system. One way to increase the training data size is adding synthesized data. In this study, synthetic data generation using morphing transformation with convex evolution is investigated. This technique uses a pair of original samples as the source and the target, and generates the synthetic samples by evolving the source towards the target. We aim to balance the data distribution. Normally, the training data has poor distribution due to the data redundancy and sparseness ca
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Lee, Shen-Wei, and 李聖偉. "A Study of Effective Region-features Extraction for Off-line Handwritten Numeral Recognition." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/nh7cy6.

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碩士<br>國立臺中科技大學<br>資訊工程系碩士班<br>100<br>A multiple features extraction technique for the recognition of handwritten numbers is proposed. The proposed technique mainly extracts direction information from the structure of contours of each handwritten number and the direction information is integrated with a technique for detecting transitions among pixels and counting the number of cross lines in the lined image of offline handwritten numbers. The technique used in the recognition combining with a Support Vector Machine (SVM) classifier provides recognition rates up to 98.99%. This proposed techniq
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Chen, Li-Lin, and 陳立麟. "A Bidirectional Recurrent Neural Network for Offline Connected and Overlapped Handwritten Numeral Recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8rwt48.

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碩士<br>國立東華大學<br>資訊工程學系<br>106<br>In recent years, the duty technology tended to regarding the hand-written numeral identification maturely, regarding divides the successful independent numeral (Isolated Digit) all to be able to have the very high identification rate. But the digital identification still had the very big challenging in very many situations, was likely a digital non-pair of independent numeral which we wanted in the duty to recognize, but was the Unknown Length the numstring, this let us in divide (Segment) to obtain in the correct digital integer to be more difficult; Also has
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Huang, Ya-Ling, and 黃雅鈴. "Implementation and Design an Interactive User Interface with Integration of Dynamic Gesture and Handwritten Numeral Recognition." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/81541060488532413969.

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碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>101<br>The HCI (Human-Computer Interface) technology development has been an important topic becasue of the popularity of digital technology and the innovation of 3C product. The product of the NUI (Natural User Interface) is more popular than the de-sign of HCI base on a joystick, mouse, keyboard and touch. It always uses the body movements to achieve the interactive in recently years. After "Kinect" somatosensory controller was announced by the Microsoft Corporation, it open an innovative tech-nologies in the natural user interface, which allows users to get mo
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Yang, Shih-Lii, and 楊世禮. "Handwritten Numeral Recognition Based on the Neural Network and Its Application in an Automatic Score Register System." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/62315500368623754715.

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碩士<br>淡江大學<br>電機工程學系<br>85<br>Handwritten numeral recognition has high potential in some applications in our daily life. It can be used in a wide range of applications, such as an automatic score register system, license-plate data verification, ZIP code recognition, etc. As a result, in the recent years many researchers have proposed relevant methods and systems for handwritten numeral recognition. In this paper, the author proposed a handwritten digit recognition system based on a supervised HyperRectangular Composite Neural Network (HRCNN) and then applied this system to an automatic
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Sun, Yu-Hua, and 孫鈺驊. "Electronic meter numerical recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9936u2.

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碩士<br>龍華科技大學<br>電機工程系碩士班<br>106<br>The common part of the existing text recognition is the license plate recognition, license plate font uniform, image preprocessing and identification are relatively simple.But, it is impossible to apply the numbers on the identification of electronic meters,because electronic meters have five and four digits, fonts are not uniform. Therefore, this paper combines the positional image processing technology and optical character recognition technology. Image preprocessing may be resolved because of the image's proximity, the angle problem causes the image to be
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Zhou, Jie. "Recognition and verification of unconstrained handwritten numerals." Thesis, 1999. http://spectrum.library.concordia.ca/959/1/NQ47716.pdf.

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Despite the success of many recognition systems for handwritten numerals within constrained domains, the problem remains difficult when unconstrained inputs are involved. The gap between the state-of-the-art machine recognition reliability and high practical demand leads to this investigation of verification scheme in pattern recognition. A pattern verifier is an expert specially trained to reliably confirm or negate a pattern identity from the General Purpose Recognizer (GPR), with the intention to significantly improve the class-specific Precision Rates of the system. The main goal of this
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Scattolin, Patrice. "Recognition of handwritten numerals using elastic matching." Thesis, 1993. http://spectrum.library.concordia.ca/4081/1/MM90895.pdf.

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Dai, Weiqian. "Recognition of handwritten numerals using neural networks." Thesis, 1990. http://spectrum.library.concordia.ca/4082/1/MM64673.pdf.

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