JPS5975376A - On-line handwritten character recognizer - Google Patents
On-line handwritten character recognizerInfo
- Publication number
- JPS5975376A JPS5975376A JP57186127A JP18612782A JPS5975376A JP S5975376 A JPS5975376 A JP S5975376A JP 57186127 A JP57186127 A JP 57186127A JP 18612782 A JP18612782 A JP 18612782A JP S5975376 A JPS5975376 A JP S5975376A
- Authority
- JP
- Japan
- Prior art keywords
- kanji
- tablet
- area
- stroke
- katakana
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 235000016496 Panda oleosa Nutrition 0.000 claims abstract description 5
- 240000000220 Panda oleosa Species 0.000 claims abstract description 5
- 101000579647 Penaeus vannamei Penaeidin-2a Proteins 0.000 abstract description 3
- 238000000034 method Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 238000000605 extraction Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/17—Image acquisition using hand-held instruments
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Character Discrimination (AREA)
Abstract
Description
【発明の詳細な説明】
(技術分野)
この発明はタブレット上に書かれた文字を認識するオン
ライン手書文字認識装置の改良に関するものである。DETAILED DESCRIPTION OF THE INVENTION (Technical Field) The present invention relates to an improvement in an online handwritten character recognition device that recognizes characters written on a tablet.
(背景技術)
キーボードより漢字かな混り日本文を入力する方法は熟
練を要するため、最近はタブレット上にペンで文字を書
くことにより入力するオンライン手書文字認識装置が開
発されている。この認識方法には、いろいろな方法があ
るが、本発明は文字の各ストロークの特徴を認識し記号
化し、筆順による記号列から得られる記号の順位や数に
より文字を認識する特徴抽出法に適用される。特徴抽出
法では漢字と゛カタカナ°′はほとんど直線で構成され
ていて、その認識方法は同−範噴に属するが°“ひらが
な′°となるとストロークのほとんどが曲線であり認識
方法を変えな(ではならない。(Background Art) Since the method of inputting kanji, kana, and Japanese sentences using a keyboard requires skill, an online handwritten character recognition device has recently been developed that inputs characters by writing them on a tablet with a pen. There are various methods for this recognition, but the present invention is applied to a feature extraction method that recognizes and symbolizes the characteristics of each stroke of a character, and recognizes characters based on the rank and number of symbols obtained from a symbol string based on stroke order. be done. In the feature extraction method, kanji and ``katakana°'' are mostly composed of straight lines, and their recognition methods belong to the same category, but when it comes to ``hiragana'', most of the strokes are curved lines, so the recognition method should not be changed. It won't happen.
(発明の課題9
本発明は漢字かな混り日本文をタブレット上にペンで書
き認識結果を表示部に表示し、次の文字をつづけて同じ
タブレットに記入する方式のオシライン手書文字認識装
置に適用されるもので、例えばタブレットに漢字のエリ
アと′°ひらがな″のエリアを設け、文字順に従い漢字
のときには漢字のエリアに゛ひらがな′”のときには゛
ひらがな”のエリアに書くこととし漢字であるか′ひら
がな゛であるかの判別をタブレットのエリアにやらせる
ようにして、認識方法を簡易化するものである。(Problem to be solved by the invention 9) The present invention is an oscilline handwritten character recognition device that uses a pen to write a Japanese sentence containing kanji and kana on a tablet, displays the recognition result on the display, and then writes the next character on the same tablet. For example, if a tablet has an area for kanji and an area for ``hiragana,'' kanji are written in the kanji area and ``hiragana'' is written in the ``hiragana'' area according to the letter order. This simplifies the recognition method by having the tablet area determine whether the text is a hiragana character or a hiragana character.
エリアは漢字と゛カタカナ″、゛ひらがな′、英字、洋
数字、記号等の数種類のエリアを設けることも可能であ
る。漢字とカタカナのエリアが分離されていれば漢字の
″こ5 I+ 11工”′と゛カタカナ″。It is also possible to have several areas for kanji, ``katakana'', ``hiragana'', alphabetic characters, Western numerals, symbols, etc.If the kanji and katakana areas are separated, the kanji ``ko5 I + 11 ko''' and 'Katakana'.
の゛えパ′工゛との識別が容易である。タブレットの各
エリアに書かれた文字はそれぞれの認識回路に導かれ、
それぞれの認識アルゴリズムによって認識される。It is easy to distinguish it from other advanced machines. Characters written in each area of the tablet are guided by their own recognition circuits,
Recognized by their respective recognition algorithms.
(発明の構成および作用) 以下図面に従って本発明の一実施例を説明する。(Structure and operation of the invention) An embodiment of the present invention will be described below with reference to the drawings.
第1図は従来のストローク特徴抽出法によるオンライン
手書文字認識装置のブロック図の一例であって1はタブ
レット、2はペン、3は制御部で4.6.9はそれぞれ
制御部の中のストローク認識回路、文字認識回路、制御
回路を示す。また10は記憶部で11 、13 、16
はそれぞれストローク辞書、文字辞書、フォントメモリ
を示す。17は表示装置、18は印刷装置である。Fig. 1 is an example of a block diagram of an online handwritten character recognition device using the conventional stroke feature extraction method, in which 1 is a tablet, 2 is a pen, 3 is a control unit, and 4, 6, and 9 are each in the control unit. A stroke recognition circuit, a character recognition circuit, and a control circuit are shown. Also, 10 is the storage unit 11, 13, 16
indicate the stroke dictionary, character dictionary, and font memory, respectively. 17 is a display device, and 18 is a printing device.
第2図は本発明のブロック図の一例であって、タブレッ
ト1は第3図に示すようにA列は漢字のみを曹(エリア
、B列はひらがなのみを書くエリア、0列はカタカナの
みを書(エリアと云うように漢字と゛かな″をエリア別
に区分したタブレット、2はペン、3は制御部である。FIG. 2 is an example of a block diagram of the present invention, and the tablet 1 is as shown in FIG. A tablet with kanji and kana divided into areas, 2 is a pen, and 3 is a control unit.
ストローク認識回路が漢字カタカナストローク認識回路
4とひらがなストローク認識回路5より構成され、それ
ぞれ独立してタブレットのA列、B列に接続されており
、また文字認識回路は漢字文字認識回路6、ひらがな文
字認識回路7、カタカナ文字認識回路8より構成され、
それぞれ漢字カタカナストローク認識回路4、ひらがな
ストローク認識回路5に接続されている。またタブレッ
トの0列は漢字カタカナストローク認識回路4に接続さ
れている。The stroke recognition circuit consists of a kanji/katakana stroke recognition circuit 4 and a hiragana stroke recognition circuit 5, each of which is independently connected to the A column and B column of the tablet, and the character recognition circuit consists of a kanji character recognition circuit 6 and a hiragana character recognition circuit. Consists of a recognition circuit 7 and a katakana character recognition circuit 8.
They are connected to a kanji katakana stroke recognition circuit 4 and a hiragana stroke recognition circuit 5, respectively. Further, the 0 column of the tablet is connected to the Kanji/Katakana stroke recognition circuit 4.
10は記憶部であるが、ストローク辞書は漢字カタカナ
ストローク辞書11とひらかなストローク辞書12に分
かれそれぞれ漢字カタカナストローク認識回路4とひら
がなストローク認識回路5に対応している〜。また文字
辞書は漢字辞書13、ひらがな辞書14、カタカナ辞書
15に分かれ、それぞれ漢字文字認識回路6、ひらがな
文字認識回路7、カタカナ文字認識回路8に対応してい
る。10 is a storage unit, and the stroke dictionary is divided into a kanji-katakana stroke dictionary 11 and a hirakana stroke dictionary 12, which correspond to a kanji-katakana stroke recognition circuit 4 and a hiragana stroke recognition circuit 5, respectively. The character dictionary is divided into a kanji dictionary 13, a hiragana dictionary 14, and a katakana dictionary 15, which correspond to a kanji character recognition circuit 6, a hiragana character recognition circuit 7, and a katakana character recognition circuit 8, respectively.
第4図はタブレットおよびペンの内容の一例で1はタブ
レット、2はペンである。2は上面にX回路23を印刷
した基板で24は押下により上下方向に導通する圧電ゴ
ム、25は下面にX回路26を印刷した柔軟性のある基
板、27は熱を加えろと変色し常温に戻れば元の色に戻
るサーマルシート、28は先端部のヒータ29と電池3
0より構成されろペンである。ペン2でタブレット1を
押下しながら文字を画くと、サーマルシートにヒータ2
9によって文字が画かれると同時に圧電ゴム押下により
X回路とX回路が導通しペンの位置をX、Y値で示す。FIG. 4 shows an example of the contents of a tablet and a pen, where 1 is a tablet and 2 is a pen. 2 is a board with an X circuit 23 printed on the top surface, 24 is a piezoelectric rubber that conducts vertically when pressed, 25 is a flexible board with an X circuit 26 printed on the bottom surface, and 27 is a board that changes color when heated and remains at room temperature. The thermal sheet returns to its original color when returned to , 28 is the heater 29 at the tip and the battery 3
It is a pen composed of 0. When you draw characters while pressing down on tablet 1 with pen 2, heater 2 will be placed on the thermal sheet.
At the same time when a character is drawn by 9, the X circuit and the X circuit are brought into conduction by pressing the piezoelectric rubber, and the position of the pen is indicated by the X and Y values.
XとYとは細いマトリックス回路になっている。サーマ
ルシートに画かれた文字は次の枠に文字を書いている中
に常温に戻り消える。タブレットにはこの外静電結合方
式や、電磁結合方式や電気抵抗によるものなどがある。X and Y are a thin matrix circuit. The characters drawn on the thermal sheet return to room temperature and disappear while writing in the next frame. There are tablets that use this external capacitive coupling method, electromagnetic coupling method, and ones that use electrical resistance.
第5図は漢字カタカナストローク辞書の一例で漢字やカ
タカナのような直線から構成される文字に適用される。FIG. 5 is an example of a kanji-katakana stroke dictionary, which is applied to characters composed of straight lines such as kanji and katakana.
第6図はひらがなストローク辞書12の一部で゛ひらが
な”′には直線部もあるため、第5図の辞書11も必要
であり漢字カタカナストローク辞書11と別にしてもよ
いし共用してもよい。Figure 6 is a part of the hiragana stroke dictionary 12. Since ``hiragana'' also has straight parts, the dictionary 11 in figure 5 is also necessary, and it may be separate from the kanji katakana stroke dictionary 11, or it may be shared. good.
第7図は漢字辞書13の10画の場合の一例でストロー
ク記号列に対応してJISの漢字符号が記載されており
、索引のし易い符号列文字列に配置されている。FIG. 7 shows an example of the case of 10 strokes in the Kanji dictionary 13, in which JIS Kanji codes are written corresponding to stroke symbol strings, and are arranged in code string character strings that are easy to index.
第8図はひらがな辞書14である。FIG. 8 shows the hiragana dictionary 14.
次に動作を説明する。Next, the operation will be explained.
第1図においてタブレット1にペン2で画かれた文字の
ストロークは動きに従ってX、Y点を抽出検知されてス
トローク認識回路に送られ、X、Y点と次に続<x、y
点の位置から方向が認識され、第5図に示すようなスト
ローク辞書との照合によりストローク記号が決定される
。一つの文字のストローク記号が順次決定されストロー
ク記号列が完成すると第7図に示す漢字辞書13と照合
され、その文字のJIS符号が決定される。この方式に
おいて、漢字と゛ひらがな°あるいは゛カタカナ゛と混
在した日本文を認識しようとすると同じ記号列のものが
でて判定に苦しむ場合が生する。例えば前に述べたよう
に漢字の゛こう″“工″とカタカナの゛え“″゛工゛′
はABAであり、またひらがなの′き”′の記号列はA
ABBであり漢字の″井パもAABBである。またひら
がなの°′す′”とカタカナの′す′も判別は困難であ
る。これ等を判別するには普通筆記者に文字とは別の印
をつげさせたり、高度な方法では前後の文字即ち構造文
解析などが行われる。前者では筆記者に負担がかかり過
るし、後者では装置が複雑になるなどの欠点がある。本
発明ではこれ等の欠点に対し筆記者にもあまり負担をか
げず装置も複雑にしないでこの点を解決した。In Fig. 1, the stroke of a character drawn with a pen 2 on a tablet 1 is detected by extracting the X and Y points according to the movement, and is sent to the stroke recognition circuit.
The direction is recognized from the position of the point, and the stroke symbol is determined by checking with a stroke dictionary as shown in FIG. When the stroke symbols of one character are determined one after another and the stroke symbol string is completed, it is checked against the Kanji dictionary 13 shown in FIG. 7, and the JIS code of that character is determined. In this method, when trying to recognize a Japanese sentence that is a mixture of kanji and hiragana or katakana, the same symbol strings appear, making it difficult to judge. For example, as mentioned earlier, the kanji ``ko''``工'' and the katakana ````゛ 工゛''
is ABA, and the symbol string for ``ki'' in hiragana is A.
It is ABB, and the kanji "Ipa" is also AABB. Also, it is difficult to distinguish between the hiragana "°'su'" and the katakana "su". In order to distinguish between these types of characters, a scribe usually makes marks that are different from the characters, or more advanced methods involve analyzing the preceding and following characters, that is, structural sentences. The former method places an excessive burden on the scribe, while the latter method requires complicated equipment. The present invention solves these drawbacks without placing too much burden on the scribe and without complicating the device.
第2図のタブレットは第3図のように漢字とυ・らがな
″と゛カタカナ″のエリアに区分されていて今、筆記者
が゛°漢字とカタカナの混った日本文′°と書(場合に
゛漢字“°′混”゛日本′”゛文パは漢字のエリア即ち
A列に、′と゛の゛パ′つパ゛た″はひらがなのエリア
即ちB列に、゛力°″゛夕”バカ”パす°はカタカナの
エリア即ちC列に書くものとする。筆記の順序は矢印で
示すように文章の順とする。ただし゛字′″と゛混°′
の間は必すしもあける必要はなく、列が文字で一杯にな
れば列の屓初の文字が常温に戻って消えているので列の
最初から文章の続きを書いて行けば良い。As shown in Figure 3, the tablet shown in Figure 2 is divided into areas for Kanji, υ/ragana'', and ``Katakana''. (In the case of ゛Kanji "°'mixed"゛Japan', the grammatical part is placed in the kanji area, i.e. column A, and the ' and ゛ part' part is placed in the hiragana area, i.e. column B. Yu "baka" pass ° shall be written in the katakana area, that is, column C. The order of writing shall be in the order of the sentences as shown by the arrow. However, "ji" and "mixed" shall be written.
There is no need to leave any spaces between the lines; once the line is filled with letters, the first letter at the end of the line returns to room temperature and disappears, so you can continue writing from the beginning of the line.
(発明の効果)
漢字文字認識回路6およびカタカナ文字認識回路8は、
漢字カタカナストローク認識回路4がタブレット1より
A列から発生したのがC列から発生したのかを判別して
それぞれの回路に配分するので、容易に漢字のパこう′
の゛′工′″とカタカナの″え″の゛′工′°とは識別
することができる。またひらがなストローク認識回路7
が漢字カタカナストローク認識回路4と独立しているの
で直線ストローク認識と曲線ストローク認識が分離され
るので、それぞれの認識回路を単純にすることができろ
。本発明はタブレット上に文字の種類によってエリアを
設は以後の認識回路を単純化するもので記号や洋数字に
ついても同じ方法をとることができる。(Effect of the invention) The kanji character recognition circuit 6 and the katakana character recognition circuit 8 are
The kanji katakana stroke recognition circuit 4 determines from the tablet 1 whether the stroke occurred from column A or from column C and distributes it to each circuit, making it easy to recognize kanji strokes.
It is possible to distinguish between the ``work'' of `` `` and the `` `` `` of `` '' of katakana. Also, the hiragana stroke recognition circuit 7
Since this is independent from the Kanji/Katakana stroke recognition circuit 4, straight stroke recognition and curved stroke recognition are separated, so each recognition circuit can be simplified. The present invention simplifies the subsequent recognition circuit by setting areas on the tablet according to the type of characters, and the same method can be applied to symbols and Western numerals.
第1図は従来のオンライン手書文字認識装置のブロック
図の一例、第2図は本発明のブロック図の一例、第3図
は本発明のタブレットを漢字と°ひらかな′と゛カタカ
ナ″にエリア別にした一例、第4図は説明のためのタブ
レットの原理構造図、第5図は漢字、カタカナの直線を
主とするストローク辞書の一例、第6図はひらがなの第
5図に不足する曲線のストローク辞書の一例、第7図は
漢字辞書の一例、第8図はひらがな辞書の一例である。
1・・・・・・タブレット
2・・・・・・ペン
3・・・・・・制御部
10・・・・・・記憶部
17・・・・・・表示装置
18・・・・・・印刷装置
特許出願人
沖電気工業株式会社
特許出願代理人
弁理士 山 本 恵 −Fig. 1 is an example of a block diagram of a conventional online handwritten character recognition device, Fig. 2 is an example of a block diagram of the present invention, and Fig. 3 is an example of a block diagram of a conventional online handwritten character recognition device. Figure 4 is a diagram of the basic structure of the tablet for explanation, Figure 5 is an example of a stroke dictionary that mainly uses straight lines for kanji and katakana, and Figure 6 is for curves that are missing from Figure 5 for hiragana. An example of a stroke dictionary, Fig. 7 is an example of a kanji dictionary, and Fig. 8 is an example of a hiragana dictionary. 1...Tablet 2...Pen 3...Control unit 10...Storage unit 17...Display device 18...Printing device Patent applicant Oki Electric Industry Co., Ltd. Patent application representative Patent attorney Megumi Yamamoto -
Claims (1)
字を構成するストロークの情報を記憶する記憶部と、ス
トロークの特徴と順序と数を認識し前記記憶部に対応さ
せ相応する文字を出力させろ制御部とより構成されるオ
ンライン手書文字認識装置において、タブレットを漢字
エリアと少(とも1ケの゛かな″または記号等のエリア
に区分するとともに、前記記憶部と制御部に各エリアに
対応する認識部分を設け、漢字かな混り日本文の各文字
の認識を少(とも漢字と゛かな′”または記号等に分け
て行ない、谷エリアにおける文字の認識を単純化したこ
とを特徴とするオンライン手書文字認識装置。A tablet and a pen that detect stroke order and handwriting; a storage unit that stores information on strokes forming characters; a control unit that recognizes the characteristics, order, and number of strokes and outputs corresponding characters in correspondence with the storage unit; In this online handwritten character recognition device, the tablet is divided into a kanji area and a small area (at least one ``kana'' or symbol), and a recognition section corresponding to each area is provided in the storage section and control section. This online handwritten character is characterized by simplifying the recognition of characters in the valley area by separating each character of Japanese characters including kanji and kana into a small number (at least kanji and ``kana''' or symbols, etc.). recognition device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP57186127A JPS5975376A (en) | 1982-10-25 | 1982-10-25 | On-line handwritten character recognizer |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP57186127A JPS5975376A (en) | 1982-10-25 | 1982-10-25 | On-line handwritten character recognizer |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS5975376A true JPS5975376A (en) | 1984-04-28 |
Family
ID=16182834
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP57186127A Pending JPS5975376A (en) | 1982-10-25 | 1982-10-25 | On-line handwritten character recognizer |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS5975376A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6175980A (en) * | 1984-09-21 | 1986-04-18 | Nippon Tsushin Kensetsu Kk | Recognizer of handwritten character |
JPS6421588A (en) * | 1987-07-16 | 1989-01-24 | Nec Corp | Character recognition system |
EP0519713A2 (en) * | 1991-06-21 | 1992-12-23 | Canon Kabushiki Kaisha | Character input method and apparatus |
US5991440A (en) * | 1991-06-21 | 1999-11-23 | Canon Kabushiki Kaisha | Method and apparatus for recognizing input handwritten characters associated with title information |
WO2005096217A1 (en) * | 2004-04-02 | 2005-10-13 | Nokia Corporation | Apparatus and method for handwriting recognition |
KR100859010B1 (en) * | 2006-11-01 | 2008-09-18 | 노키아 코포레이션 | Apparatus and method for handwriting recognition |
US7580029B2 (en) | 2004-04-02 | 2009-08-25 | Nokia Corporation | Apparatus and method for handwriting recognition |
-
1982
- 1982-10-25 JP JP57186127A patent/JPS5975376A/en active Pending
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6175980A (en) * | 1984-09-21 | 1986-04-18 | Nippon Tsushin Kensetsu Kk | Recognizer of handwritten character |
JPH055145B2 (en) * | 1984-09-21 | 1993-01-21 | Nippon Komushisu Kk | |
JPS6421588A (en) * | 1987-07-16 | 1989-01-24 | Nec Corp | Character recognition system |
EP0519713A2 (en) * | 1991-06-21 | 1992-12-23 | Canon Kabushiki Kaisha | Character input method and apparatus |
US5991440A (en) * | 1991-06-21 | 1999-11-23 | Canon Kabushiki Kaisha | Method and apparatus for recognizing input handwritten characters associated with title information |
WO2005096217A1 (en) * | 2004-04-02 | 2005-10-13 | Nokia Corporation | Apparatus and method for handwriting recognition |
US7580029B2 (en) | 2004-04-02 | 2009-08-25 | Nokia Corporation | Apparatus and method for handwriting recognition |
US8094938B2 (en) | 2004-04-02 | 2012-01-10 | Nokia Corporation | Apparatus and method for handwriting recognition |
KR100859010B1 (en) * | 2006-11-01 | 2008-09-18 | 노키아 코포레이션 | Apparatus and method for handwriting recognition |
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