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林依民 i Yi-min Lin. "Computer recognition of printed Chinese characters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31209919.
Pełny tekst źródła梁祥海 i Cheung-hoi Leung. "Computer recognition of handprinted Chinese characters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1986. http://hub.hku.hk/bib/B31230660.
Pełny tekst źródła施雷 i Lui Sze. "Computer recognition of printed Chinese characters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31213601.
Pełny tekst źródłaLeung, Cheung-hoi. "Computer recognition of handprinted Chinese characters /". [Hong Kong : University of Hong Kong], 1986. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12322131.
Pełny tekst źródłaLau, Kin-keung. "Preprocessing and postprocessing techniques for improving the performance of a Chinese character recognition system /". [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13154345.
Pełny tekst źródłaHu, Marie. "A study of Chinese characters recognition methods". Cincinnati, Ohio : University of Cincinnati, 2002. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1035813506.
Pełny tekst źródłaWong, Chi-hung. "Hand-written Chinese character recognition by hidden Markov models and radical partition /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19669380.
Pełny tekst źródłaChou, Yu-Ju. "Hemispheric lateralisation in the recognition of Chinese characters". Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/24431.
Pełny tekst źródła葉賜權 i Chee-kuen Yip. "Machine recognition of multi-font printed Chinese Characters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31210120.
Pełny tekst źródłaRen, Manling. "Algorithms for off-line recognition of Chinese characters". Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245175.
Pełny tekst źródłaAl-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.
Pełny tekst źródłaWang, Jianguo. "Off-line computer recognition of unconstrained handwritten characters". Thesis, The University of Sydney, 2001. https://hdl.handle.net/2123/27805.
Pełny tekst źródłaWong, Chi-hung, i 黃志雄. "Hand-written Chinese character recognition by hidden Markov models andradical partition". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31220058.
Pełny tekst źródła劉健強 i Kin-keung Lau. "Preprocessing and postprocessing techniques for improving the performance of a Chinese character recognition system". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210375.
Pełny tekst źródłaWong, Pak-kwong. "Multifont printed Chinese character recognition system /". [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13068556.
Pełny tekst źródłaTing, Voon-Cheung Roger. "Separation and recognition of connected handprinted capital English characters". Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26747.
Pełny tekst źródłaApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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.
Pełny tekst źródła蔡健群 i Kin-kwan Choi. "Recognition of printed Chinese characters using a neural network". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210247.
Pełny tekst źródłaChoi, Kin-kwan. "Recognition of printed Chinese characters using a neural network /". [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13166578.
Pełny tekst źródła黃伯光 i Pak-kwong Wong. "Multifont printed Chinese character recognition system". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31210600.
Pełny tekst źródłaNg, Pak-hung David. "The predominant role of visual codes in Chinese character recognition". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36910314.
Pełny tekst źródłaNg, Pak-hung David, i 伍柏鴻. "The predominant role of visual codes in Chinese character recognition". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36910314.
Pełny tekst źródłaZheng, Zhonghua. "Chinese characters and word recognition: An analysis and a model". Thesis, University of Ottawa (Canada), 1990. http://hdl.handle.net/10393/5573.
Pełny tekst źródłaLee, Sai-ho, i 李世豪. "Recognition of components of Chinese characters by Hong Kong student =". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3764791X.
Pełny tekst źródłaDing, Wen. "A developmental study of phonological activation in Chinese character recognition". Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39559087.
Pełny tekst źródłaLee, Sai-ho. "Recognition of components of Chinese characters by Hong Kong student Xianggang xue sheng ren du bu tong bu jian zu he han zi de shi bie yan jiu /". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3764791X.
Pełny tekst źródłaBult, Timothy Paul. "Schema labelling applied to hand-printed Chinese character recognition". Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26175.
Pełny tekst źródłaScience, Faculty of
Computer Science, Department of
Graduate
林梓鳳 i Tsz-fung Lam. "Chinese speakers' metalinguistic and processing representations of words and characters". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226188.
Pełny tekst źródłaLam, Tsz-fung. "Chinese speakers' metalinguistic and processing representations of words and characters /". Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23501698.
Pełny tekst źródłaDing, Wen, i 丁雯. "A developmental study of phonological activation in Chinese character recognition". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39559087.
Pełny tekst źródłaWong, Ing Hoo. "Design of a realtime high speed recognizer for unconstrained handprinted alphanumeric characters". Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25135.
Pełny tekst źródłaApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Lo, On-ting, i 羅安庭. "Chinese character recognition : studies of complexity effect on recognition efficiency, spatial frequency characteristics, crowding and expertise". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/197116.
Pełny tekst źródłapublished_or_final_version
Psychology
Doctoral
Doctor of Philosophy
Wong, Pak-kwong. "Statistical language models for Chinese recognition : speech and character /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20158725.
Pełny tekst źródłaSae-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/.
Pełny tekst źródłaChen, Songqing. "Development of a neural network based software package for the automatic recognition of license plate characters". Ohio : Ohio University, 1992. http://www.ohiolink.edu/etd/view.cgi?ohiou1172092299.
Pełny tekst źródłaWang, Ling. "The impact of multimedia on Chinese learners' recognition of characters a quantitative and qualitative study /". online access from Digital Dissertation Consortium, 2005. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3210808.
Pełny tekst źródłaWong, Wai-man Vivian. "The role of phonological consistency and family size of phonetic radicals in reading Chinese characters in school-aged children in Hong Kong". Click to view the E-thesis via HKU Scholars Hub, 2003. http://lookup.lib.hku.hk/lookup/bib/B38890926.
Pełny tekst źródła"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 2003." Includes bibliographical references (p. 29-30) Also available in print.
陳國評 i 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.
Pełny tekst źródła黃伯光 i Pak-kwong Wong. "Statistical language models for Chinese recognition: speech and character". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31239456.
Pełny tekst źródłaKwok, Ching-man Emily. "The discrepancy in the studies on the change of regularity effect in Chinese characters reading across grades methodological differences? /". Click to view the E-thesis via HKU Scholars Hub, 2003. http://lookup.lib.hku.hk/lookup/bib/B38888737.
Pełny tekst źródła"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 2003." Includes bibliographical references (p. 29-31) Also available in print.
Lin, Yeu-Chang, i 林裕章. "Using Confusion Characters to Improve Character Recognition Rate". Thesis, 1996. http://ndltd.ncl.edu.tw/handle/34907033760970274876.
Pełny tekst źródła國立交通大學
資訊工程學系
84
This thesis proposes a confusion set analysis approach to improve character recognition rate. We collect all confused characters of a character by analyzing the recognition results of 100 training samples taken from the CCL/HCCR database. In the training phase, a character is first recognized by an OCR system OCR1 and top five candidates are outputted. Each candidate of the recognition results is assigned a weight in reversed-rank. After all training samples of all 5401 characters are trained, we create a confusion set for each character. If the reversed-rank sum of an output candidate is greater than a threshold, the input character is stored in the confusion set of the output candidate. Similar characters in a confusion set are different in certain parts. We select features in these distinct parts to distinguish the similar characters. However, it is hard to select suitable features when the size of a confusion set is large. We cluster the characters of the confusion set into subgroups by using crossing count features. Then, we calculate the weights for all features among the characters in each subgroup to select the most distinguishable features. In the recognition phase, we obtain the most possible output character by the OCR system OCR1 for each input character. The characters in the confusion set with respect to the output character are recognized by another OCR system OCR2 to find the final recognition result. Experimental results show that the hit rates of the subgroups of the confusion sets are 93. 76% and the average size of the subgroups is 9.01. The final recognition rate for our system is 86.97%.
Huang, Jacky, i 黃鉦晏. "Fuzzy decision and characters recognition". Thesis, 1996. http://ndltd.ncl.edu.tw/handle/35920022067004777388.
Pełny tekst źródłaGong, Shyh-Jier, i 龔世傑. "Recognition of handwritten digit characters". Thesis, 1993. http://ndltd.ncl.edu.tw/handle/19034124518507636417.
Pełny tekst źródła大同工學院
資訊工程研究所
81
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 methodology discussed in this paper is compared to a nearest neighbor classifier that use 2,010 prototypes. The proposed technique can get a recognit- ion rate of greater than 97 percent, and the recognition sp- eed is 0.5 sec/char.
Liang, Hao-Po, i 梁浩伯. "The Action Research of Direct Teaching Chinese Characters to Preschool Children’s Character Recognition". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/74178509709454582854.
Pełny tekst źródła國立臺中教育大學
教育學系
102
This research used action research, discuss the implementation of direct teaching Chinese Characters of San Zi Jing. In the process, trying to development variety of teaching strategies, and promote the quantity of Chinese character recognition. The subjects of the study were 24 children in kindergarten of Changhua County. Implementation of ten weeks, five times a week, every thirty minutes of direct teaching Chinese characters courses. In the course of study, the researcher conducted data collection and analysis through literacy scale, teachers’ interviews, observation records, teaching notes, parents surveys, parents qualitative feedbacks, course records, summarized the conclusions of this study are as follows: 1. Let preschool to read aloud texts, recite texts, master the voice of the texts is the first stage of direct teaching Chinese characters; Secondly , establishing a link of Chinese characters pronunciation and shape with variety of teaching strategies is the next stage of direct teaching Chinese characters. 2. Direct teaching Chinese characters can effectively promote the quantity of Chinese character recognition and parents’ affirmative generally. 3. Difficulties encountered in the process have: the degree of dedication in reading texts, the interference of teaching, the appropriate of seating arrangements, checklist effectiveness of these course, the particularity of the subjects. Based on the above conclusions, researcher suggestions on teaching practice, including suggestions for teachers, parents and suggestions to recommend to kindergarten, as well as recommendations on the follow-up study. Providing education conducted Chinese character teaching partners and researchers by direct teaching Chinese characters refer to and apply.
Tai, Yu-Ho, i 戴宇核. "The Effect of Character-Based Teaching Materials on Chinese Characters’ Recognition and Writing". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7zpw27.
Pełny tekst źródła國立臺灣師範大學
華語文教學系
106
Recently, the method of teaching Chinese Characters has drawn great attention in the field of Chinese Teaching. Studies on different teaching methods and strategies have become hot research issues. How to improve the reading(recognition) and writing ability of students at primary level is considered greatly by teachers and researchers. Referring to the theory of serial position effect, this study introduced Chinese Characters input and output path models. At the same time, the teaching strategies were divided into two groups, that is, Pronunciation as priority group and Writing as priority group. There is no previous exploration on whether teaching pronunciation first or writing first can mostly benefit Chinese Characters’ reading(recognition) ability and(or) writing ability. Therefore, the researcher used the teaching strategies based on the two models as mentioned before as well as the traditional teaching method of sentence-based teaching to design the research and conduct the empirical research. The participants of this research were 177 beginning level learners of Chinese language, including Filipino-Chinese and non-Filipino-Chinese, in 8th grade at Grace Christian College, Philippines. After analyzing the data, three conclusions were obtained as follows: 1.The learners who accepted the character-based approach improved their ability of reading(recognition) and writing Chinese Characters more than those accepted sentence-based approach learners. 2.The results of this research consisted with the primary effect theory of serial position effect. The ability of Chinese Characters’ reading(recognition) of students in the Pronunciation as priority group was significantly higher than that of students in other groups. While the ability of Chinese Characters’ writing of students in Writing as priority group was significantly higher than that of students in other groups. 3.In general, the Filipino-Chinese students’ ability of reading(recognition) and writing was significantly higher than that of non-Filipino-Chinese students. This study may provide a reference for teachers and researchers in Chinese teaching practice.
Jian, Jia-Ching, i 簡嘉慶. "Very High Precision Optical Character Recognition For Clean-Fixed-Sized True Type Characters". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/29nd45.
Pełny tekst źródła國立中央大學
資訊工程學系
105
Optical Character Recognition has been studied for many years. However, no OCR tools can claim 100% recognition rate because of the variation in image quality, documentation layout, character fonts and sizes. When there are changes in one of them, recognition rate is often greatly impacted. Korat is an image-based test regression tool developed in our lab. Korat captures the screen image from a system under test. Therefore, the image is clean, no noises, and no rotation. Based on this condition, we do not deal with situations like image noises, which makes OCR a difficult problem in this thesis. In Korat's practical applications, nearly 100% recognition rate is often required. So even there are many existing OCR tools with 88-95% recognition rate, they do not meet the requirements of Korat's practical applications. In this research, we combine the template matching and dynamic programming algorithm to find the optimal solution with the smallest sum of remaining pixels in all possible combinations of recognition so that the recognition rate could be achieved 100% at nearly.
"Video-based handwritten Chinese character recognition". 2003. http://library.cuhk.edu.hk/record=b6073522.
Pełny tekst źródła"June 2003."
Thesis (Ph.D.)--Chinese University of Hong Kong, 2003.
Includes bibliographical references (p. [114]-130).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Mode of access: World Wide Web.
Abstracts in English and Chinese.
Silva, Rui. "Mobile framework for recognition of musical characters". Dissertação, 2013. http://hdl.handle.net/10216/73771.
Pełny tekst źródłaChen, Yang-En, i 陳仰恩. "Matching Topological Structures for Handwritten Characters Recognition". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/szkjv3.
Pełny tekst źródła國立臺灣大學
資訊工程學研究所
105
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 whole template according to certain highly matched features. After these operations, the matched feature in the revised template will overlap its corresponding feature in the unknown character as much as possible. New matching score can be calculated for each feature of the revised template. This kind revision can be operated iteratively. The recognition is accomplished for the template which received the highest whole score. This work illustrates this matching process and its operations. This process indirectly overcomes difficult distortion problems.
TSAI, CHEN-CHEN, i 蔡真真. "Chinese Characters Recognition within Wroking Memory Paradigm". Thesis, 1998. http://ndltd.ncl.edu.tw/handle/92105551040488257492.
Pełny tekst źródła國立中正大學
心理學研究所
87
Abstract Chinese characters are mostly constructed of a part with phonological information and a part with meaning(radical). Because of this difference with alphabetic system, word recognition has been always a popular topic in psychology, especially the role of phonological representations and orthographic representations in Chinese characters recognition. Many studies have found the importance and necessity of phonological representations in lexical access of Chinese characters. Some studies have found that orthographic representations play some role in lexical access of Chinese characters. There seems to be two routs of processing Chinese characters. These two routs appear to match the process of verbal and visual working memory proposed by Baddeley(1986).In this study, we want to explore this relationship. There are three experiments in this study. We designed phonological and visual concurrent tasks intervene the processing of Chinese characters and saw if these tasks influence the performance of Chinese character recognition. In experiment 1, We presented six characters successively with each 230 ms. After that subjects performed an intervention judgment task , then character recognition. We found there was a significant advantage of phonological representations in high frequency characters, but no difference between phonological and orthographic representations in low frequency. In experiment 2, after we shortened the presentation time, number of Chinese characters, switched characters recognition and intervention task and changed the stimulus material to extremely unfamiliar characters in low frequency characters, the difference between phonological and orthographic representations is not significant. In experiment 3, maintaining the condition as in experiment 2, we prolonged the presentation time and found that when phonological loading was heavy, subjects preferred visual cue and when visual loading was heavy, they preferred phonological cue. It shows in this study that, phonological information plays an important role in Chinese character recognition, just as in alphabetic system. Only when phonological loading is too heavy, orthographic information will be used.