JPS58109972A - Scriving machine with brush writing - Google Patents
Scriving machine with brush writingInfo
- Publication number
- JPS58109972A JPS58109972A JP56206891A JP20689181A JPS58109972A JP S58109972 A JPS58109972 A JP S58109972A JP 56206891 A JP56206891 A JP 56206891A JP 20689181 A JP20689181 A JP 20689181A JP S58109972 A JPS58109972 A JP S58109972A
- Authority
- JP
- Japan
- Prior art keywords
- character
- brush
- writing
- characters
- voice
- 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
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J2/00—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed
- B41J2/485—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed characterised by the process of building-up characters or image elements applicable to two or more kinds of printing or marking processes
- B41J2/49—Typewriters or selective printing mechanisms characterised by the printing or marking process for which they are designed characterised by the process of building-up characters or image elements applicable to two or more kinds of printing or marking processes by writing
Abstract
Description
【発明の詳細な説明】
本発明は手書き文字で書かれた文章をあたかも毛筆で書
かれたごとく清書する代書機に関するものである。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a transcription machine that can copy handwritten text as if it had been written with a brush.
現代では毛筆で文字を書く機会が少なりため。This is because there are fewer opportunities to write with a brush these days.
毛筆で書くことが甲子な人が増えてbる。このため美し
い字の書ける代筆者が手近にいればと思う要望は大きい
である5゜
従来技術として1字を美しく見せる手段に活字による印
刷があったが、大量配布する場合は有利であるが1個人
から個人への手紙としては印刷費用の点からも、また個
性を出せないという点からも欠点が多りものであった。The number of people who are good at writing with a brush is increasing. For this reason, there is a strong desire to have a ghostwriter who can write beautiful handwriting available. As letters from individuals to individuals, they had many drawbacks, both in terms of printing costs and the inability to express individuality.
本発明の目的は上記し次従来技術の欠点をなくし2個人
から個人への文書において1個性の感じられる筆跡でか
つ美しい文字で印刷される代書機を提供することにある
。The object of the present invention is to eliminate the above-mentioned drawbacks of the prior art and to provide a transcription machine that can print documents from two individuals to each other with unique handwriting and beautiful characters.
本発明の要点は毛筆で書いた場合の毛筆の動きをマイク
ロコンビ為−夕を使って演算させ印刷することで手書き
文字を美しく清書するようにしたことによシ、使用者に
代って毛鹸書きの美しい文字で代書するようにしたこと
にある。The main point of the present invention is that when writing with a brush, the movement of the brush is calculated and printed using a micro-combiner, so that handwritten characters are beautifully printed. The reason lies in the fact that the characters are written in beautiful handwriting.
本発明の方法を用いた代書機の一実施例をat図に示す
。図中1は手書き文字を読みとる光学文字読み取シ部、
2は読み取った文字の特徴抽出回路、3は漢字あるいは
仮名の書体や書き順を記憶したメモリ(ROM)、4は
手書き文字とメモリに記憶された文字との一致を決別す
る中央演算処理部(マイクロコンピュータ)、5は中央
演算処理部4のワークエリアとなるRAM、6は音声入
力回路、7は音声の特徴を抽出する音声分析回路。An example of a transcription machine using the method of the present invention is shown in the at diagram. 1 in the figure is an optical character reading unit that reads handwritten characters;
2 is a feature extraction circuit for the read characters, 3 is a memory (ROM) that stores the font and stroke order of kanji or kana, and 4 is a central processing unit (ROM) that determines whether handwritten characters match the characters stored in the memory. 5 is a RAM serving as a work area for the central processing unit 4, 6 is a voice input circuit, and 7 is a voice analysis circuit for extracting voice features.
8は印刷機に対するインタ7エイス、9は印刷機である
。Reference numeral 8 indicates an interface 7A to the printing press, and 9 indicates a printing press.
第1図の動作原理を第2図に示す。手書き文字「てがき
−一−−0」を光学文字読み取シ部1で(atのように
読み取り、各文字ごとに特徴抽出回路2によって文字の
4徴を(blのように抽出する。このtblの特徴とR
OM 3に記憶した標準の文字(ofの特徴と比較し1
%定の文字を固定する(dl。ここまでの手順は郵便番
号の認識等の技術がすでにあり公知である。The operating principle of FIG. 1 is shown in FIG. 2. The handwritten character "Tegaki-1--0" is read by the optical character reading unit 1 as (at), and the feature extraction circuit 2 extracts four characteristics of the character as (bl) for each character. Characteristics and R
Standard characters stored in OM 3 (compared with the characteristics of 1
% Fixed characters (dl) The procedure up to this point is already known as there is already technology for recognizing postal codes.
ここで中央演算処理装置4によって、上記特定された文
字(dlをROM !に記憶された書き順(e)に従っ
て毛筆で書くと毛筆の動きはどのようになるかを演算す
る。ここで、標準文字の毛筆書体を直@ROM 5に
記憶させなかったのけ、1つには毛筆書体のパターンを
ディジタルパターン情報とするには縦500ドツ)x横
300ドツト以上の精密さが必要であるため多数の文字
を記憶するには大規模容量のメモリが必要となシ装置が
大形になることと1毛筆出力の筆跡にいろいろ特徴をも
たせる。Here, the central processing unit 4 calculates how the brush will move if the specified character (dl) is written with a brush according to the stroke order (e) stored in the ROM!. One reason why the calligraphy font of the characters was not stored directly in @ROM 5 is that in order to convert the calligraphy font pattern into digital pattern information, precision of at least 500 dots (vertical) x 300 dots (horizontal) is required. In order to store a large number of characters, a large capacity memory is required, and the device becomes large in size, and the handwriting produced by a single brush stroke has various characteristics.
すなわち個性をもたせることができなくなるからである
。In other words, it becomes impossible to give it individuality.
ROM 5に記憶されている情報は例えば始点よ’)
A (x+ +y+ )+ B (X!1y2)I
C(xs+ys )といった書き順の情報やrBC間を
曲面に」といった運筆の情報である。毛筆の動きは中央
演算処理装置4によって紙面に対してX軸方向、Y軸方
向の動画の他2紙面に垂直なZ軸方向も演算する。この
とき、這篭速度、運筆の太さ1字の丸やかさなどけ。The information stored in ROM 5 is, for example, the starting point')
A (x+ +y+ )+ B (X!1y2)I
This includes stroke order information such as C (xs+ys), and stroke stroke information such as ``Curve surface between rBC''. The central processing unit 4 calculates the movement of the brush in the X-axis direction and the Y-axis direction with respect to the paper surface, as well as in the Z-axis direction perpendicular to the paper surface. At this time, the speed of the basket, the thickness of the stroke, the roundness of one character, etc.
音声入力回路6より入力される使用者の音声を音声分析
回路7によって分析した個性の要素2例えば男女の性別
9年令9強さ、などの因子によって演算のパラメータを
少し変えることにより実現し。This is achieved by slightly changing the calculation parameters depending on factors such as personality factors 2, such as gender, age, strength, etc., which are obtained by analyzing the user's voice input from the voice input circuit 6 by the voice analysis circuit 7.
文字出力に個性を持たせる。Add individuality to character output.
一例として、音声分析回路7によって分析できる個性の
因子(男女差1年令差−−−)をα4.α2−−−α。As an example, a factor of individuality (one year age difference between men and women) that can be analyzed by the voice analysis circuit 7 is α4. α2---α.
のN個に分解し2毛筆の篭の動きに関する因子(違篭速
度、太さ、丸み一一一)をPl + ”2−−− Pn
のN個に分解して、上記両者の因子が相互に1次結合で
組み合わせることができるとすると毛筆の紙面上の動き
QはZ=0の断面の集合となり2次式%式%
このようにして得た毛筆の筆跡を印刷機インタ7工イス
回路8を介して印刷機9によって出力される。印刷技術
に関しては例えばグラフィックプリンタ、インクジェッ
トプリンタ等公知の技術であるのでここでは説明を省略
する。The factors related to the movement of the basket of the two brush strokes (different basket speed, thickness, roundness, etc.) are calculated as Pl + "2--- Pn
If it is decomposed into N parts and the above two factors can be combined with each other in a linear combination, then the movement Q of the brush on the paper becomes a set of cross sections of Z=0, and it is expressed as follows: The handwriting obtained by the brush is outputted by a printing machine 9 via a printing machine interface 7 and a chair circuit 8. The printing technology is a well-known technology such as a graphic printer, an inkjet printer, etc., so a description thereof will be omitted here.
以上述べたように使用者によって印刷される毛筆出力の
筆跡を太い文字(f)にも、やわらかい文字(g)にも
変更できる点が本発明の特徴であΣ。As described above, the feature of the present invention is that the user can change the handwriting output from the calligraphy brush to either a thick character (f) or a soft character (g).
以上のことから1本発明の方法を用いることによシ、使
用者の個性に応じた毛筆出力を得ることができ1個人対
個人の文書の交換においても個性あふれる美しい毛筆書
体の文章を得ることができる。From the above, 1. By using the method of the present invention, it is possible to obtain a calligraphy output according to the individuality of the user, and 1. it is possible to obtain writing in a beautiful calligraphy font that is full of individuality even in the exchange of documents between individuals. I can do it.
なお本発明の一実施例では平仮名について説明したが1
本発明の方法を漢字あるいは片仮名あるいは漢字かな混
じシ文に応用しても同様の効果が得られることは明白で
ある。この場合、書体あるいけ書き順を記憶するメモリ
として大容量のものが要求されるため半導体メモ!J(
ROM)では容量不足となるが、プロッピディスクやバ
ブルメモリあるいは光ディスクなどの大容量メモリデバ
イスを使うことで容易に解決できる。In addition, in one embodiment of the present invention, hiragana was explained, but 1
It is clear that the same effect can be obtained even when the method of the present invention is applied to Kanji, Katakana, or Chinese characters mixed with Kanji and Kana. In this case, a large-capacity memory is required to store the font and ikegaki order, so a semiconductor memo is required! J(
However, this can be easily solved by using a large-capacity memory device such as a floppy disk, bubble memory, or optical disk.
第1図は本発明の一実施例を゛説明するブロック図、第
2図(al〜(g+は本発明の手順を示す説明図である
。
6:音声入力回路、7:音声分析回路
代理人弁理士 薄 1)利 幸
才 l 呪
一′5A’ 2 図
(仄) (ト”) (C)(tL)
<+453−
?)
C子)FIG. 1 is a block diagram explaining one embodiment of the present invention, and FIG. 2 (al to (g+) are explanatory diagrams showing the procedure of the present invention. 6: voice input circuit, 7: voice analysis circuit agent Patent Attorney Usui 1) Kosai Tori l Juichi'5A' 2 Figure (廄) (T”) (C) (tL)
<+453-? ) C child)
Claims (1)
で記憶したメモリと手書き文字を検出する文字読み取り
手段と、その結果から文字認識を行なう中央演算処理装
置とを設け、かつ、上記手書き文字に相当するメモリに
記憶された特定の文字を毛筆で書いた場合の模擬を上記
中央演算処理装置によって演算し、この演算結果を印刷
手段によって出力することを特徴とする毛筆代書機。 2、上記9毛筆の動きを演算するパラメータとして、使
用者の声を入力する手段を有し、上記音声から使用者の
個性因子を抽出することによシ毛筆の印刷出力に個性を
持良せたことを特徴とする請求範囲第1項記載の毛鎖代
書機。[Scope of Claims] 1. Provided with a memory that stores characters such as kanji or ikekana in typeface or stroke order, character reading means for detecting handwritten characters, and a central processing unit that performs character recognition from the results, and a calligraphy handwriting characterized in that the central processing unit calculates a simulation of writing a specific character stored in the memory corresponding to the handwritten character with a brush, and the result of this calculation is outputted by the printing means. Machine. 2. It has a means for inputting the user's voice as a parameter for calculating the movement of the above-mentioned 9 brushes, and by extracting the user's personality factors from the voice, the printed output of the brush has individuality. A hair chain scriber according to claim 1, characterized in that:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP56206891A JPS58109972A (en) | 1981-12-23 | 1981-12-23 | Scriving machine with brush writing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP56206891A JPS58109972A (en) | 1981-12-23 | 1981-12-23 | Scriving machine with brush writing |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS58109972A true JPS58109972A (en) | 1983-06-30 |
Family
ID=16530758
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP56206891A Pending JPS58109972A (en) | 1981-12-23 | 1981-12-23 | Scriving machine with brush writing |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS58109972A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH03263542A (en) * | 1990-02-19 | 1991-11-25 | Mitsubishi Electric Corp | Air conditioning control system |
-
1981
- 1981-12-23 JP JP56206891A patent/JPS58109972A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH03263542A (en) * | 1990-02-19 | 1991-11-25 | Mitsubishi Electric Corp | Air conditioning control system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Javed et al. | Segmentation free nastalique urdu ocr | |
Spitz | Determination of the script and language content of document images | |
US6298154B1 (en) | Method for rendering improved personal handwriting | |
US7184591B2 (en) | Systems and methods for adaptive handwriting recognition | |
US7120299B2 (en) | Recognizing commands written onto a medium | |
JPS61502495A (en) | Cryptographic analysis device | |
JPH03161891A (en) | Table type document reader | |
CN103995600B (en) | A kind of braille Chinese character converter and its method | |
Märgner et al. | Databases and competitions: strategies to improve Arabic recognition systems | |
JPWO2008015825A1 (en) | Written font data and character output system | |
Mozaffari et al. | IfN/Farsi-Database: a database of Farsi handwritten city names | |
Margner | SARAT-A system for the recognition of Arabic printed text | |
JPS58109972A (en) | Scriving machine with brush writing | |
CN106339726A (en) | Method and device for handwriting recognition | |
JP3142986B2 (en) | Document information retrieval device | |
JPS61240361A (en) | Documentation device with hand-written character | |
JPS6239794B2 (en) | ||
JPH11301033A (en) | Method and apparatus for outputting braille and ink character | |
JPH09319828A (en) | On-line character recognition device | |
Slimane et al. | Comparison of global and cascading recognition systems applied to multi-font arabic text | |
Bhatt et al. | Aspects of handwriting synthesis and its applications | |
JP2006092345A (en) | Equipment, method, and program for character recognition | |
Sae-Tang et al. | Thai handwritten character corpus | |
Nagabhushan et al. | A knowledge-based approach for recognition of handwritten Pitman shorthand language strokes | |
JP2002366134A (en) | Device and program for handwriting character font generation |