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Dissertations / Theses on the topic 'Handwritten characters'

Author: Grafiati

Published: 18 May 2024

Last updated: 31 July 2025

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1

Al-Emami, Samir Yaseen Safa. "Machine recognition of handwritten and typewritten Arabic characters." Thesis, University of Reading, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359173.

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2

Wang, Jianguo. "Off-line computer recognition of unconstrained handwritten characters." Thesis, The University of Sydney, 2001. https://hdl.handle.net/2123/27805.

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This thesis presents several techniques for improving the performance of off—line Optical Character Recognition (OCR) systems: broken character mending and recognition, feature extraction methods in OCR and hybrid methods for handwritten numeral recognition. As an application, form document image compression and indexing is also introduced. Broken characters mending techniques are investigated first. A macrostrtrcture analysis (MSA) mending method is proposed based on skeleton and boundary information and macrostructure analysis that investigates the stroke tendency and other propert

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3

Ziogas, Georgios. "Classifying Handwritten Chinese Characters using Convolutional Neural Networks." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-371526.

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Image recognition applications have been increasingly gaining popularity, as computer hardware was getting more powerful and cheaper. This increase in computational resources, led researchers even closer to their target on creating algorithms that could achieve high accuracy in image recognition tasks. These algorithms are applied in many different fields, such as in medical images analysis and object recognition in real-time applications.Previously studies have shown that among many image recognition algorithms, artificial neural networks and specifically deep neural networks, perform outstan

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4

Mandal, Rakesh Kumar. "Development of Neural Network techniques to recognize handwritten characters." Thesis, University of North Bengal, 2015. http://ir.nbu.ac.in/handle/123456789/1790.

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5

Hosseini, Habib Mir Mohamad. "Analysis and recognition of Persian and Arabic handwritten characters /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phh8288.pdf.

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6

Mitchell, John. "Computer based analysis of handwritten characters for hand-eye coordination therapy." Thesis, University of Kent, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358603.

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7

Sae-Tang, Sutat. "A systematic study of offline recognition of Thai printed and handwritten characters." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/206079/.

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Thai characters pose some unique problems, which differ from English and other oriental scripts. The structure of Thai characters consists of small loops combined with curves and there is an absence of spaces between each word and sentence. In each line, moreover, Thai characters can be composed on four levels, depending on the type of character being written. This research focuses on OCR for the Thai language: printed and offline handwritten character recognition. An attempt to overcome the problems by simple but effective methods is the main consideration. A printed OCR developed by the Nati

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8

陳國評 and Kwok-ping Chan. "Fuzzy set theoretic approach to handwritten Chinese character recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B30425876.

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9

Wang, Yongqiang. "A study on structured covariance modeling approaches to designing compact recognizers of online handwritten Chinese characters." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42664305.

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10

Wang, Yongqiang, and 王永強. "A study on structured covariance modeling approaches to designing compact recognizers of online handwritten Chinese characters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42664305.

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11

Chai, Sin-Kuo. "Multiclassifier neural networks for handwritten character recognition." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1174331633.

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12

Clarke, Eddie. "A novel approach to handwritten character recognition." Thesis, University of Nottingham, 1995. http://eprints.nottingham.ac.uk/14035/.

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A number of new techniques and approaches for off-line handwritten character recognition are presented which individually make significant advancements in the field. First. an outline-based vectorization algorithm is described which gives improved accuracy in producing vector representations of the pen strokes used to draw characters. Later. Vectorization and other types of preprocessing are criticized and an approach to recognition is suggested which avoids separate preprocessing stages by incorporating them into later stages. Apart from the increased speed of this approach. it allows more ef

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13

Xu, Zhengyan, and Yibing Zhou. "Specific Handwritten Chinese Character Recognition Based on Artificial Intelligence." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14599.

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As internet techniques are developing more and more quickly, internet becomes the main way to communicate with the outside world. In this case, written information on paper needs to be converted to digital information urgently, increasing the need for handwritten character recognition. The aim of this work is to discuss methods that can be used to recognize handwritten Chinese characters. We study geometric features and clustering of handwritten Chinese characters from three aspects, which are handwritten character preprocessing, feature extraction and clustering. To test the correctness of ou

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14

Sawhney, Sumeet S. "Distance measurements and their combination in handwritten character recognition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59339.pdf.

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15

Ansari, Nasser. "Handwritten character recognition by using neural network based methods." Ohio : Ohio University, 1992. http://www.ohiolink.edu/etd/view.cgi?ohiou1172080742.

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16

Sahai, Anant. "Handwritten character recognition using the minimum description length principle." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11015.

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17

Shi, Daming. "An active radical approach to handwritten Chinese character recognition." Thesis, University of Southampton, 2002. https://eprints.soton.ac.uk/257379/.

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18

Manley-Cooke, Peter. "Handwritten character recognition using a multi-classifier neuro-fuzzy framework." Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433914.

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19

Kassel, Robert H. "A comparison of approaches to on-line handwritten character recognition." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11407.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (p. 155-163).<br>by Robert Howard Kassel.<br>Ph.D.

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20

Kunwar, Rituraj. "Incremental / Online Learning and its Application to Handwritten Character Recognition." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/366964.

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In real world scenarios where we use machine learning algorithms, we often have to deal with cases where input data changes its nature with time. In order to maintain the accuracy of the learning algorithm, we frequently have to retrain our learning system, thereby making the system inconvenient and unreliable. This problem can be solved by using learning algorithms which can learn continuously with time (incremental/ online learning). Another common problem of real-world learning scenarios that we often have to deal with is acquiring large amounts of data which is expensive and time consuming

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21

He, Tingting, and 何婷婷. "A study on several problems in online handwritten Chinese character recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B42182086.

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22

Gong, Shyh-Jier, and 龔世傑. "Recognition of handwritten digit characters." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/19034124518507636417.

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碩士<br>大同工學院<br>資訊工程研究所<br>81<br>This paper presents a methodology for classifying syntactic patterns is using a feature matching against a set of proto- otypes. The prototypes are first classified and arranged into a hierarchical structure that facilitates this matching. Image of characters are described by a sequence of features extracted from the chain codes of their contours. A rotatio- nally invariant string distance measure is defined that com- pared two feature strings. The meth

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23

"Video-based handwritten Chinese character recognition." 2003. http://library.cuhk.edu.hk/record=b6073522.

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by Lin Feng.<br>"June 2003."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2003.<br>Includes bibliographical references (p. [114]-130).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.<br>Abstracts in English and Chinese.

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24

Chen, Yang-En, and 陳仰恩. "Matching Topological Structures for Handwritten Characters Recognition." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/szkjv3.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>105<br>This work presents a matching process to resolve the variable distortions for recognition of handwritten characters. It can tolerate difficult distortions by preserving the topological structure of the character. The unknown character and all templates are represented in advance by features that resemble the receptive fields of visual system. The templates are loaded with flexible and variable features along their skeletons. These flexible features can tolerate local distortions. The global operations, shift, rotation, and scale, are applied to revise the who

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TSO, FU-NUNG, and 左富農. "A Recognition System for 3D Handwritten Characters." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/75968645387820459939.

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碩士<br>世新大學<br>資訊管理學研究所(含碩專班)<br>104<br>The scope of applications for contactless handwriting is very broad. For example, due to frequent addition of new members and update of information, as well as hygiene considerations, it was most appropriate for IKEA to implement contactless handwriting devices for processing members’ basic information. However, contactless handwritings are not the same as those written on a 2D plane, because the written marks do not necessarily lie on the same plane. Continuing using 2D character input methods, with no way to judge displacement in the third vector Z axis

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謝禎冏. "Model-guided recognition of handwritten chinese characters." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/48911061822496300574.

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27

Sharma, Anand. "Devanagari Online Handwritten Character Recognition." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4633.

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In this thesis, a classifier based on local sub-unit level and global character level representations of a character, using stroke direction and order variations independent features, is developed for recognition of Devanagari online handwritten characters. It is shown that online character corresponding to Devanagari ideal character can be analyzed and uniquely represented in terms of homogeneous sub-structures called the sub-units. These sub-units can be extracted using direction property of online strokes in an ideal character. A method for extraction of sub-units from a handwritten c

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HU, KAI-TING, and 胡凱婷. "Electroencephalogram as Assistance for Recognizing Handwritten Chinese Characters." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/a5aft8.

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碩士<br>中華大學<br>工業管理學系碩士班<br>103<br>In recent years, sensor technology has developed rapidly, and man-machine interface has reached a mature stage. The tradition of a keyboard, mouse and other hardware devices. Mobile devices transcended the button already. More and more people choose to use handwriting input or handwriting recognition but simultaneously Faced with a variety of personal handwriting text and text variability. Although that can identify accurately, but lost time-consuming process of writing. When we write the word,it will let us produce brain waves. Electroencephalogram is the m

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29

Tseng, Yi-Hong, and 曾逸鴻. "Knowledge-based Radical Extraction for Handwritten Chinese Characters." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/25802980577157459242.

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碩士<br>國立交通大學<br>資訊工程研究所<br>82<br>The goal of this thesis is to speed up the execution and increase the efficiency of character recognition by using some knowledge relative to radicals. In this thesis, we assume that we have accepted an imperfect result of stroke extraction. If the correct radicals can be extracted successfully, the task of character recognition will be simplified greatly. First, we defined about 400 radicals that can compose more than 2000 Chinese characters. According to t

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30

趙宏宇. "A new stroke extraction method for handwritten characters." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/68317869402951653535.

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31

CHEN, JUN-XIAN, and 陳俊賢. "The study of neocognitron for handwritten characters recognition." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/30131981839063060038.

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32

Chiu, Hung-Pin, and 邱宏彬. "Processing and Invariant Recognition of Handwritten Chinese Characters." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/96967638286401011586.

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博士<br>國立中央大學<br>資訊工程研究所<br>85<br>An invariant pattern recognition system recognizes patterns despite arbitrary variations in location, scale, and orientation. In our study, an adequate norm alization process is first used to normalize characters such that they are inv ariant to translation and scale, then several rotation-invariant features and non-rotation-invariant structural features are respectively extracted for inva riant recognition of small and middle sets of handwritten Chinese characters. In off

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Lee, Hsuan-Pei, and 李宣霈. "Handwritten Chinese Characters Recognition Based on Deep Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/435deh.

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碩士<br>國立中央大學<br>資訊工程學系<br>107<br>Character recognition has already been a popular research field even when machine learning and deep learning haven’t been discussed frequently. For example, the technique of OCR(Optical Character Recognition) has already been quite mature. Along with the development of machine learning and deep learning these years, the research of character recognition has also made a great leap by using deep learning. English characters and digit recognition has already been quite mature. However, Chinese characters recognition hasn’t been as mature as English characters and

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Zhang, Wen-Hong, and 張文鴻. "Interfered Seals and Handwritten Characters Removal for Prescription Images." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/77kez5.

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碩士<br>臺北市立大學<br>資訊科學系<br>105<br>In life, text in many documents have interfered by seals and handwritten characters. These documents include hospital prescription, school documents, bank documents, etc. If want to process these documents automatically, however, these interferences will affect the detection and recognition of the text. 　　In this study, we focus on the prescription documents for hospital. Furthermore, to develop an automatic prescription processing system in the future. In order to complete this system, the text in the prescription must be detected and recognized firstly. Howeve

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Liu, Hsin-Hung, and 劉信宏. "Extraction of Strokes in Off-line Handwritten Chinese Characters." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/88179145787442207078.

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碩士<br>國立交通大學<br>資訊工程研究所<br>82<br>In this thesis, we present a system to extract handwritten Chinese character strokes by using the knowledge of strokes. After the preprocessing an image would be expressed as 1-D set of line segments. There are five strps in the preprocessing: thinning, detection of feature points, extraction of line segments, determination of line segment types, and deletion of short line segments. After preprocessing, we will extract strokes from line segments according to

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CHEN, BIN, and 陳斌. "Recognition of handwritten Chinese characters via short line segments." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/55548786621449892606.

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37

Wu, Yi-Fang, and 武宜芳. "Stroke Extraction of Chinese Handwritten Characters by Normalized Vectors." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/04833111208102310768.

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Mishra, Tusar Kanti. "Development of Features for Recognition of Handwritten Odia Characters." Thesis, 2015. http://ethesis.nitrkl.ac.in/6921/1/TusharKanti_511CS107-PhD_2015.pdf.

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In this thesis, we propose four different schemes for recognition of handwritten atomic Odia characters which includes forty seven alphabets and ten numerals. Odia is the mother tongue of the state of Odisha in the republic of India. Optical character recognition (OCR) for many languages is quite matured and OCR systems are already available in industry standard but, for the Odia language OCR is still a challenging task. Further, the features described for other languages can’t be directly utilized for Odia character recognition for both printed and handwritten text. Thus, the prime thrust has

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Niu, Xiaoxiao. "Fusions of CNN and SVM Classifiers for Recognizing Handwritten Characters." Thesis, 2011. http://spectrum.library.concordia.ca/7370/1/Niu_MCompSc_S2011.pdf.

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Ming, Chen Jyh, and 陳志明. "Recognition of similar handwritten Chinese characters by artificial neural networks." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/08846493337872930669.

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碩士<br>國立交通大學<br>資訊工程研究所<br>83<br>This thesis presents an application of neural networks on off- line similar handwritten Chinese character recognition. The proposed method consists of three components:(1)confusing character sets construction,(2)feature selection,(3)modular neural network recognition. In order to evaluate the proposed recognition system, we choose 5401 frequently used Chinese characters as our trainning and testing domain. The database of each testing and trainning sample ch

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Li, Li Mei, and 李麗美. "Multi-stroke relaxation matching method for handwritten Chinese characters recognition." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/35173093896778146495.

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Lee, Wei, and 李煒. "Using Fuzzy Logic For Offline Recognition Of Chinese Handwritten Characters." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/90651248205623924786.

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碩士<br>國立中正大學<br>資訊工程學系<br>84<br>In this thesis, we inherit Mr. Ling Shr Ming's preprocessing technique for Chinese O.C.R. stroke retrieval [1], and propose a new method for Chinese O.C.R characterrecognition. This method uses fuzzy logic based matching. The features which are used by the method include line position, slope and coordinates. The fuzzy matching has better recognition rates and is more flexible than traditional methods, and has a high tolerance for error in an input character

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ZHENG, FANG-XUAN, and 鄭芳炫. "An approach to recognition of handwritten Chinese characters by stroke analysis." Thesis, 1988. http://ndltd.ncl.edu.tw/handle/22079771789453220936.

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Kuo, Hung-Yie, and 郭鴻憶. "On the Recognition of Handwritten Chinese Characters Using Fuzzy Neural Networks." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/17766309908291846174.

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碩士<br>國立成功大學<br>電機工程研究所<br>82<br>Handwritten Chinese character recognition is known to be a very difficult problem because of their large vocabulary set of complex structures and writing variations. In this thesis, a hierarchical architecture is constructed to recognize handwritten Chinese characters. First, the preprocessing operations including smoothing, stroke fitting, skeletonization, feature point detection are performed to obtain a suitable data format for further processes. Then a

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Lien, Chun-Yu, and 連俊宇. "Feature extraction of 3D handwritten Chinese characters based on Leap Motion." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/80166046784066969036.

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碩士<br>國立中央大學<br>資訊工程學系在職專班<br>102<br>Recently, the demand of handwriting input becomes more and more important due to the popularity of smartphones and 3C products. Handwriting input makes 3C products operations becomes easy. However, most of the input devices nowadays are generally not contactless so that user has to write directly on the device with a pen or finger. Although there are some video based air-finger-writing systems using a camera to capture hand/ finger trajectory motions while handwriting. However, they are easily affected by illuminations. In this thesis, we propose a novel fe

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Li, Yu-An, and 李育安. "Handwritten and Printed Chinese Character Recognition By Using Computer Font Type Chinese Characters into Convolutional Neural Network." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/99ad3j.

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碩士<br>國立臺灣大學<br>工程科學及海洋工程學研究所<br>106<br>The main purpose of this paper is to improve Handwritten Chinese Character Recognition and traditional, non-modern Printed Chinese Character Recognition problem. By using the existing different style of Chinese font resources in computer system and online sources, we take most commonly used 5000 and 10000 words, then do several data deformation and preprocessing by image processing skills to produce training data. Combined with the technology of Convolutional Neural Networks in machine learning, we trained a distinguished model which can be used to recog

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Liao, Chong-Wen, and 廖崇文. "A Study on Handwritten and Printed Characters Discrimination Using the Fuzzy System." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/14496415984573861630.

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碩士<br>國立交通大學<br>電機與控制工程系<br>87<br>The handwritten and printed character recognition plays an important rule in the area of the optical character recognition (OCR) and the document analysis. In order to promote the performance of the OCR system, the character style in handwritten or in printed need to be known in advance. In this thesis, a fuzzy classification system which can discriminate handwritten and printed characters is implemented. In order to promote the correct rate of the classification system, the most useful features

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Huang, Chiung-Wei, and 黃瓊緯. "A Fuzzy Rule-based System for the Radical Extraction on Handwritten Chinese Characters." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/44008925819285204256.

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碩士<br>國立臺灣科技大學<br>工程技術研究所<br>82<br>In this thesis, a fuzzy rule-based system for extracting radicals as the preclassification information for handwritten Chinese character recognition (HCCR) is proposed. Since the writings of handwritten Chinese characters vary a lot, we adopt fuzzy set theory to deal with the recognition of these fuzzy in nature patterns. Based on the structure of Chinese characters, the primitive but important features, i.e., strokes, are treated as

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Sheu, Chung-Chieh, and 徐仲杰. "A handwritten chinese characters recognition method based on primitive and fuzzy features via SEART neural net model." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/92946634800767476278.

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碩士<br>國立臺灣科技大學<br>工程技術研究所<br>83<br>A handwritten Chinese characters recognition method using SEART neural network model with primitive and compound fuzzy features is proposed. The primitive features are extracted in local and global view. Also they have good stability. Since the writings of handwritten Chinese characters vary a lot, we adopt fuzzyract the compound features in structural view. These categories of features are extracted in one pass, so thel effort is not heavy. We combi

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Ms, Shalini. "Handwritten Hindi Character Recognition." Thesis, 2017. http://ethesis.nitrkl.ac.in/8879/1/2017_MT_Shalini.pdf.

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Devanagari, the most accepted script in India and Hindi is the only dialect which is widely spoken and written, so Handwritten Hindi character Recognition is done. Optical Character Recognition (OCR) is used for pattern recognition, it can be online or offline. Handwritten text is electronically converted into machine learning language. Handwritten character Recognition has many applications like cheque reader,passport reader,address reader,specific tasks readers. Devanagari is troublesome because the characters present in a words are somewhat similar to other character or connected words may

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