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轉換比率:金額 X 10=金幣數(shù)量, 例100元=1000金幣 | 論文字數(shù):15871 | ![]() | |
折扣與優(yōu)惠:團購最低可5折優(yōu)惠 - 了解詳情 | 論文格式:Word格式(*.doc) | ![]() |
摘要:在科技發(fā)展過程中,智能化成為設備發(fā)展的必然方向。智能設備的小型化,成本降低,使得日常生活中智能設備日益增多。 通常,智能設備,例如個人電腦和按鍵手機,使用傳統(tǒng)全鍵盤和T9鍵盤作為人機輸入通道。但伴隨著智能設備的小型化、便攜化,鍵盤的使用將不利于智能設備的體積簡化。并且,鍵盤使用人必須對拼音或者五筆輸入法能夠進行基本掌握,才能進行基本輸入操作。 在智能設備的體積簡化要求下,手寫輸入必然成為在語音識別還未成熟的情況下,優(yōu)先選擇作為便攜設備的輸入機制。 手寫輸入在1995年由摩托羅拉公司率先應用之后,已經(jīng)慢慢在字母類外文方面技術成熟,但是在中文手寫輸入方面,由于漢字本身結構、數(shù)量的特性,加之書寫人書寫習慣因人而異,造成漢字手寫輸入在識別方面存在很大困難。 考慮到嵌入式設備系統(tǒng)特點,在考慮漢字字庫量大的問題時,就要考慮漢字識別速率的問題和正確率的而問題。 本文主要闡述壓力預處理方法和基于筆段、結構、首末筆劃的類識別方案的可行性,主要研究一下問題: 1、對壓力電阻屏采集壓力數(shù)據(jù)筆劃劃分法研究,旨在能夠實現(xiàn)模仿正常書寫時,以用力不同是造成的壓力值變化來識別實際筆劃和連筆筆劃的區(qū)分,從而在預處理階段完成筆劃識別。 2、研究最小二乘法在擬合筆劃時的實用性。 3、研究筆劃中心點分布對漢字結構的區(qū)分實用性。 關鍵詞:漢字;手寫輸入;類識別; 預處理
Abstract:In the process of the development of science and technology, intelligent equipment development is the inevitable direction. Intelligent device miniaturization, lower costs, making the smart devices in daily life is increasing. Usually, smart devices, such as mobile phone personal computer and buttons, using traditional qwerty keyboard and T9 keyboard as man-machine input channel. But with intelligent device miniaturization, portable, and the use of the keyboard will not conducive to intelligent devices and simplify. And keyboard users must to basic grasp pinyin or wubi input method can be basic input operation. Simplify in smart devices volume request, handwriting input must become under the condition of the voice recognition still immature, preference as input mechanism of portable devices. Handwritten input by MOTOROLA in 1995 after the first application, has mature technology slowly in the class of foreign language, but in terms of Chinese handwritten input, because the Chinese character itself structure, the number of features, combined with the writing people writing habits vary from person to person, result in recognition in handwritten Chinese characters input is very difficult. Considering the embedded equipment system characteristics, considering the characters ZiKuLiang bigger problem, consider Chinese character recognition rate of the problem and correct the problem. A pretreatment method, the purpose of this article is to study the main problem: 1)the strokes of pressure resistance screen gathering data classification method research, aimed at to achieve imitation normal writing, with different hard change is caused by the pressure value to identify the actual difference between stroke and cursive stroke, and thereby complete stroke identification in preprocessing stage. 2)study the least square method in fitting strokes practicality. 3)the research to distinguish the practicability of the structure of Chinese characters stroke center of distribution. Key words: Chinese handwriting input preprocessing |