JPH0239388A - Character recognizing device - Google Patents

Character recognizing device

Info

Publication number
JPH0239388A
JPH0239388A JP63189911A JP18991188A JPH0239388A JP H0239388 A JPH0239388 A JP H0239388A JP 63189911 A JP63189911 A JP 63189911A JP 18991188 A JP18991188 A JP 18991188A JP H0239388 A JPH0239388 A JP H0239388A
Authority
JP
Japan
Prior art keywords
character
storage means
size
image
digital image
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.)
Granted
Application number
JP63189911A
Other languages
Japanese (ja)
Other versions
JP2586117B2 (en
Inventor
Takeshi Shichino
七野 剛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP63189911A priority Critical patent/JP2586117B2/en
Publication of JPH0239388A publication Critical patent/JPH0239388A/en
Application granted granted Critical
Publication of JP2586117B2 publication Critical patent/JP2586117B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Landscapes

  • Character Input (AREA)

Abstract

PURPOSE:To recognize a character-string which is connected arbitrarily by inputting a character, and also, a specific symbol annexed thereto, detecting a position and a size of the character and the character-string from its digital image and storing them. CONSTITUTION:A character position detecting means 3 inputs a digital image consisting of a white picture element and a black picture element, which is stored in an image storage means 2, detects a specific symbol in the digital image, and outputs a position of a character. A character size detecting means 5 derives a size of the character from the specific symbol which is detected by the character position detecting means 3 and output it. A character size storage means 6 stores the size of the character which the character size detecting means 5 has outputted, and a character-string detecting means 7 inputs the digital image which is stored in the image storage means 2, and outputs information for showing a fact to be a character-string from the specific symbol in the digital image.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 この発明は、読み取った図面のデジタル画像から文字を
認識する文字認識装置に関するものである。
DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a character recognition device that recognizes characters from a read digital image of a drawing.

〔従来の技術〕[Conventional technology]

第6図は例えば情報処理学会筒31目金国大会昭和60
年度後期予稿集6N−、z  1図面中の文字列抽出に
関する一方式」などにみられる文字認識装置を示す全体
構成図である。
Figure 6 shows, for example, the Information Processing Society of Japan's 31st Gold Country Convention in Showa 60.
It is an overall configuration diagram showing a character recognition device that can be found in Proceedings of the Second Half of the Year 6N-, z1 "One Method for Extracting Character Strings from Drawings".

図中(11に図面t−読み取ってHliのデジタル画像
を出力する図面入力手段、(2)は図面入力手段10に
よって出力されたデジタル画像を記憶する画像記憶手段
、(lりは画像記憶手段(2)に工っで記憶されている
デジタル画像を入力し1文字単位の文字の位置を出力す
る文字抽出手段、(41μ文字抽出手段USによって出
力され次文字の位置を記憶する文字情報記憶手段、翰は
文字情報記憶手段(4)によって記憶されている文字の
位置情報を入力し文字列を構成する文字を文字列情報と
して出力する文字列抽出手段、(8)は文字抽出手段伯
によって出力され九文字列情報を記憶する文字列情報記
憶手段、(9)に画像記憶手段(21に記憶されている
デジタル画像と文字情報記憶手段(4)によって記憶さ
れている文字の位置の情報を入力し文字画像を出力する
文字画像切り出し手段、 aaは文字画像切り出し手段
(9)によって出力された文字画像を記憶する文字画像
記憶手段、α11は文字画像記憶手段σ1に記憶されて
いる文字画像を認識し文字コードを出力する文字認識手
段、azは文字認識手段αυによって出力された文字コ
ードを記憶する文字記憶手段、 fi3は文字列情報記
憶手段(81によって記憶されている文字列情報及び文
字記憶手段α2によって記憶されている文字コードを入
力し、誤っている文字コードを修正する認識結果修正手
段、 (141は認識結果修正手段11(によって修正
された文字コードを記憶する修正結果記憶手段である。
In the figure (11 is a drawing input means for reading the drawing t- and outputting a digital image of Hli, (2) is an image storage means for storing the digital image output by the drawing input means 10, (l is an image storage means ( 2) character extraction means for inputting the digital image stored in the process and outputting the position of each character; character information storage means for storing the position of the next character outputted by the 41μ character extraction means US;翰 is a character string extraction means for inputting character position information stored in the character information storage means (4) and outputting the characters constituting the character string as character string information; (9) a character string information storage means (9) for storing character string information, inputting the digital image stored in the image storage means (21) and character position information stored in the character information storage means (4); character image cutting means for outputting a character image; aa is character image storage means for storing the character image outputted by the character image cutting means (9); α11 is character image storage means for recognizing the character image stored in the character image storage means σ1; character recognition means that outputs a character code; az is a character storage means that stores the character code output by the character recognition means αυ; fi3 is a character string information storage means (character string information stored by 81 and character storage means α2); (141 is a correction result storage means that stores the character code corrected by the recognition result correction means 11).

矢に動作について説明する。Explain the action to the arrow.

まず悦み取り対象となる入力文字列として、より確実な
結果を得るために通常以下のような条件を課す。
First, in order to obtain more reliable results, the following conditions are usually imposed on the input character string to be gratified.

(a)  文字列はX軸・y軸の正方向に書かれる。(a) Character strings are written in the positive direction of the X and y axes.

(b)  文字のゆらぎは前後の文字幅以下である。(b) Character fluctuation is less than the width of the preceding and following characters.

(c)  文字間隔は一定値以下である。(c) Character spacing is below a certain value.

(d)文字列間隔は一定値以上である。(d) The character string interval is greater than or equal to a certain value.

(e)  文字列を矩形領域で囲んだ場合他の文字列の
矩形領域と交わらない。
(e) When a character string is surrounded by a rectangular area, it does not intersect with the rectangular areas of other character strings.

これら一定の条件のもとに配列された読み取り対象の記
入された図面を画像入力手段(11により入力すると、
白画素と黒画素から成る2値のデジタル画像として画像
記憶手段(2)に格納される。文字抽出手段α9では、
このデジタル画像を入力し2文字を構成する図形要素の
互いの位置関係が前述の(b)と(c)のような条件を
満たす時1個の文字を構成する図形要素と判定し、それ
らの図形要素を囲む外接長方形の位置を文字の位置とし
て文字清報記憶手段(4)に出力する。文字列抽出手段
αGでは文字情報記憶手段(4)から文字の位i4情報
を入力し2文字を囲む外接長方形の互いの位置関係が前
述の(a)。
When the drawings with the objects to be read arranged under these certain conditions are inputted by the image input means (11),
The image is stored in the image storage means (2) as a binary digital image consisting of white pixels and black pixels. In the character extraction means α9,
When this digital image is input and the mutual positional relationship of the graphical elements constituting two characters satisfies the conditions (b) and (c) above, it is determined that the graphical elements constitute one character, and these The position of the circumscribed rectangle surrounding the graphic element is output to the character information storage means (4) as the position of the character. The character string extraction means αG inputs the character position i4 information from the character information storage means (4), and determines the mutual positional relationship of the circumscribed rectangles surrounding two characters as shown in (a) above.

(d)、 (e)のような条件を満たす時1組の文字列
であると判定し2文字列毎に文字抽出手段aSで抽出し
た文字へのポインターを文字列情報として文字列情報記
憶手段(8)に出力する。文字画像切り出し手段(9)
では1画像情報記憶手段(2)からデジタル画像と文字
情報記憶手段(4)から文字の位置情報を入力し、それ
があられす文字を囲む外接長方形の内部の画像を文字画
像記憶手段αGに出力する。文字認識手段αυでは2文
字画像記憶手段?1CIより文字画像を入力し、1個の
文字に対して文字認識の候補として、 ff2jの文字
コードを優先順位をつけて2文字記憶手段62に出力す
る。認識結果修正処理代3では。
When conditions such as (d) and (e) are satisfied, it is determined that the character strings are one set, and a character string information storage means stores a pointer to the character extracted by the character extraction means aS for every two character strings as character string information. Output to (8). Character image cutting means (9)
1. Input the digital image from the image information storage means (2) and the character position information from the character information storage means (4), and output the image inside the circumscribed rectangle that surrounds the character to the character image storage means αG. do. Character recognition means αυ is 2 character image storage means? A character image is inputted from the 1CI, and character codes of ff2j are prioritized and outputted to the 2-character storage means 62 as candidates for character recognition for each character. In recognition result correction processing fee 3.

文字列情報記憶手段(8)及び文字記憶手段(U2から
文字列を構成する文字の文字コードを入力し1文字列と
して正しくない場合は1文字コードを優先順位により修
正して修正結果記憶手段σ勾に出力する。
The character string information storage means (8) and the character storage means (U2 input the character codes of the characters constituting the character string, and if they are not correct as one character string, the one character code is corrected according to the priority order, and the correction result storage means σ Output to gradient.

なお1文字列としての正しさの判定は、単語辞書との比
較により行う。
Note that the correctness of a character string is determined by comparison with a word dictionary.

〔発明が解決しようとする課題〕[Problem to be solved by the invention]

従来の文字認識装置は以上のように構成されているので
、誤って文字の抽出が行なわれた場合。
Conventional character recognition devices are configured as described above, so if a character is extracted incorrectly.

正しい文字の認識結果が得られない。また、誤って文字
列の抽出が行なわれた場合、正しい認識結果修正処理が
行なわれないなどの解決すべき課題があった。
Correct character recognition results cannot be obtained. Further, there are problems that need to be solved, such as when a character string is extracted incorrectly, correct recognition result correction processing is not performed.

また2文字や文字列の認識率を高める念め、読み取り対
象となる入力文字や文字列に制限が加えられ、任意の位
置の任意のサイズのかつ任意の連結の文字列を認識する
ことができなかった。
In addition, in order to improve the recognition rate of two characters and character strings, restrictions have been added to the input characters and character strings that can be read, making it possible to recognize character strings of any size and any concatenation in any position. There wasn't.

この発明は、上記のような課題を解決するためになされ
たもので2文字の抽出及び文字列の抽出における誤りを
なくシ、任意な位置の任意なサイズの文字で構成された
。任意に連結された文字列の認識ができる装置を得るこ
とを目的とする。。
This invention was made to solve the above-mentioned problems, and eliminates errors in extracting two characters and character strings, and consists of characters of arbitrary sizes in arbitrary positions. The purpose of the present invention is to obtain a device that can recognize arbitrarily concatenated character strings. .

〔課題を解決するための手段〕 この発明に係る文字認識装置は2文字とともにこれと付
随する特定記号を入力し、このデジタル画像から文字の
位置とサイズと文字列を検出し記憶するようにしたもの
である。
[Means for Solving the Problems] The character recognition device according to the present invention inputs two characters and an accompanying specific symbol, and detects and stores the position, size, and character string of the characters from this digital image. It is something.

〔作用〕[Effect]

この発明における文字認識装置は2文字とともに入力し
た特定記号のデジタル画像の座標位置を文字の位置とし
、この特定記号のデジタル画像の形状から文字のサイズ
を決定し、この特定記号のデジタル画像の中で文字の連
結を示すものから文字列を検出する。この特定記号によ
り2文字の位置・サイズが自由に変えられ、かつ文字列
の方向も自由になる。
The character recognition device according to the present invention uses the coordinate position of a digital image of a specific symbol input together with two characters as the character position, determines the size of the character from the shape of the digital image of this specific symbol, and determines the size of the character from the shape of the digital image of this specific symbol. Detect strings from those that indicate concatenation of characters. With this specific symbol, the position and size of the two characters can be freely changed, and the direction of the character string can also be freely changed.

〔発明の実施例〕[Embodiments of the invention]

以下、この発明の一実施例を図によって説明する。 Hereinafter, one embodiment of the present invention will be described with reference to the drawings.

第1図は、この発明の一実施例を示す全体構成図であり
1図中(【)は画面入力手段、(2)は画像記憶手段、
(4)は文字情報記憶手段、(8)は文字列情報記1.
1手段、(9)は文字画像切り出し手段、01lBは文
字画像記憶手段、αυは文字認識手段、 113は文字
記憶手段、03け認識結果修正手段、α心は修正結果記
憶手段であり、これらは第6図に示した従来のものと同
様のものである。(3)は画像記憶手段(2)によって
記憶されている白画素と黒画素から成るデジタル画像を
入力し、デジタル画像中の特定記号を検出し1文字の位
置を出力する文字位置検出手段、(5)は文字位置検出
手段(3)で検出された特定記号より文字のサイズを求
め出力する文字サイズ検出手段。
FIG. 1 is an overall configuration diagram showing one embodiment of the present invention, in which ([) indicates a screen input means, (2) an image storage means,
(4) is character information storage means, (8) is character string information storage 1.
1 means, (9) is a character image cutting means, 011B is a character image storage means, αυ is a character recognition means, 113 is a character storage means, 03 is a recognition result correction means, α is a correction result storage means, and these are This is similar to the conventional one shown in FIG. (3) is a character position detection means that inputs a digital image consisting of white pixels and black pixels stored in the image storage means (2), detects a specific symbol in the digital image, and outputs the position of one character; 5) is a character size detecting means for determining and outputting the character size from the specific symbol detected by the character position detecting means (3).

(6)は文字サイズ噴出手段(5)が出力した文字のサ
イズを記憶する文字サイズ記憶手段、(7)は画像記憶
手段(2)によって記憶されているデジタル画像を入力
し、デジタル画像中の特定記号より文字列であることを
示す情報を出力する文字列検出手段である。
(6) is a character size storage means for storing the size of the characters outputted by the character size ejection means (5), and (7) is for inputting the digital image stored by the image storage means (2), and inputting the digital image stored in the image storage means (2). This is a character string detection means that outputs information indicating that it is a character string based on a specific symbol.

次に、上記第1図に示すこの発明の一実施例である文字
認識装置の説明を第2図から第5図を用いて行う。
Next, the character recognition device shown in FIG. 1, which is an embodiment of the present invention, will be explained using FIGS. 2 to 5.

第2図は読み取り対象となる文字が描かれた図面、第3
図は第2図に対応した特定記号を示す図である。第3図
の例では2文字の位置及び文字のサイズを表す記号とし
て2文字サイズを一辺の長さとする正方形を、また、こ
の正方形を結びつけた線を2文字列の連結を示す記号と
して用いている。
Figure 2 is a drawing depicting the characters to be read, Figure 3
The figure shows specific symbols corresponding to FIG. 2. In the example in Figure 3, a square whose side length is the size of two characters is used as a symbol to represent the position and size of two characters, and a line connecting these squares is used as a symbol to represent the connection of two character strings. There is.

第2図及び第3図の様な図面を画像入力手段il+によ
り入力すると白画素と黒画素からなる2値のデジタル画
像とし゛C0画像記憶段(2)に格納される。
When drawings such as those shown in FIGS. 2 and 3 are inputted by the image input means il+, they are stored in the C0 image storage stage (2) as binary digital images consisting of white pixels and black pixels.

第4図は、第3図に対応するデジタル画像の一部を拡大
して示したものである。
FIG. 4 shows an enlarged portion of the digital image corresponding to FIG.

文字位置検出手段(3)では2画像記憶手段(2)に記
憶されている第3図のデジタル画像から、まず。
The character position detection means (3) first detects the digital image of FIG. 3 stored in the two-image storage means (2).

上下左右の4方向に互いに連続している白画素。White pixels that are continuous in four directions: top, bottom, left, and right.

すなわち4連結状態にある白画素を1組にまとめた白画
素領域を求め、その縦及び横のサイズがある大きさの範
囲に入るとき2文字の位置及び文字のサイズをあられす
特定記号に対応する白画素領域として検出する。
In other words, find a white pixel area in which 4 connected white pixels are grouped together, and when the vertical and horizontal sizes fall within a certain size range, the position of 2 characters and the size of the character correspond to a specific symbol. Detected as a white pixel area.

次に、検出した白画素領域の外接長方形を求め。Next, find the circumscribing rectangle of the detected white pixel area.

その位置を文字の位置として文字情報記憶手段(4)に
出力する。第5図に、第4図から検出し之白画素領域を
斜線のパターンで示す。また、出力する文字の位置情報
は、第5図に示したX印の座標値である。なお文字位置
検出手段(3)が白画素領域を検出した順番は2文字位
置情報のポインタとして使われ、かつ後の工程でも、当
該文字や白画素領域の参照ポインタとして使われる。
The position is outputted to the character information storage means (4) as a character position. In FIG. 5, the white pixel area detected from FIG. 4 is shown in a hatched pattern. Further, the position information of the character to be output is the coordinate value of the X mark shown in FIG. Note that the order in which the character position detection means (3) detects the white pixel area is used as a pointer for two-character position information, and is also used as a reference pointer for the character or white pixel area in subsequent steps.

文字サイズ検出手段(5)では1文字情報記憶手段(4
)に記憶されている文字の位置情報を入力し1文字のサ
イズを算出して文字サイズ記憶手段(6)に出力する。
The character size detection means (5) uses the one character information storage means (4).
), the size of one character is calculated and output to the character size storage means (6).

ここで文字サイズ算出の方法を説明する。Here we will explain how to calculate the font size.

文字の位置情報は2文字位置検出手段(3)で検出した
白画素領域における外接長方形の左下及び右上の座標値
である。この外接長方形は、特定記号にほぼ一致するた
め、外接長方形の二辺の長さを算出すればこれを文字の
サイズとして用いることができる。本例の場合は、特定
記号を正方形としているので一辺の算出のみで文字のサ
イズが判定できる。
The character position information is the lower left and upper right coordinate values of the circumscribed rectangle in the white pixel area detected by the two character position detection means (3). Since this circumscribed rectangle almost matches the specific symbol, if the lengths of the two sides of the circumscribed rectangle are calculated, this can be used as the character size. In this example, since the specific symbol is a square, the size of the character can be determined only by calculating one side.

文字列検出手段(7)では1画像記憶手段(2)に記憶
されているデジタル画像から、まず上下左右および45
°方向の8方向に互いに連続している黒画素、すなわち
8連結状態にある黒画素を1組にまとめた黒画素領域を
求める。次に求めた黒画素領域にもとづいて1文字列を
構成する白画素領域の連結順を文字列情報記憶手段(8
)に出力する。ここで連結順として出力されるのは、前
述した白画素領域の参照ポインタであり、同一ポインタ
が文字情報記憶手段(4)に書きこまれた文字位置情報
の参照にも使われている。
The character string detection means (7) first selects the top, bottom, left, right, and 45
A black pixel area is obtained in which black pixels that are continuous in eight directions in the ° direction, that is, eight connected black pixels are grouped into one set. Next, based on the obtained black pixel area, the string information storage means (8
). Here, what is output as the connection order is the reference pointer of the white pixel area mentioned above, and the same pointer is also used to refer to the character position information written in the character information storage means (4).

次に2文字画像切り出し手段(9)では2画像記憶手段
(2)に記憶されているデジタル画像と2文字情報記憶
手段(4)から文字の位置情報を入力し、白画素領域内
の画像を文字画像記憶手段IIαに出力する。
Next, the two-character image cutting means (9) inputs the digital image stored in the two-image storage means (2) and the character position information from the two-character information storage means (4), and extracts the image within the white pixel area. It is output to the character image storage means IIα.

文字認識手段αDでは2文字サイズ記憶手段(6)から
文字のサイズを1文字画像記憶手段αGより文字画像を
入力し、1個の文字に対して文字認識の候補としてn個
の文字コードを優先順位を付けて。
The character recognition means αD inputs the character size from the two character size storage means (6) and the character image from the one character image storage means αG, and prioritizes n character codes as candidates for character recognition for one character. Rank them.

文字記憶手段03に出力する。Output to character storage means 03.

認識結果修正手段αJでは2文字列情報記憶手段(8)
及び文字記憶手段fi3から文字列を構成する文字の文
字コードを入力し1文字列として正しくない場合は文字
コードを優先順位により修正して修正結果記憶手段α4
に出力する。なお9文字列としての正しさの判定は、単
語辞書との比較により行う。
In the recognition result correction means αJ, 2 character string information storage means (8)
The character codes of the characters constituting the character string are input from the character storage means fi3, and if they are not correct as one character string, the character codes are corrected according to the priority order, and the correction result storage means α4
Output to. Note that the correctness as a nine-character string is determined by comparison with a word dictionary.

なお上記実施例では、特定記号として正方形の場合を示
したが2文字の位置とサイズが特定できればどのような
記号でもよく長方形やs形でもよい。
In the above embodiment, a square is used as the specific symbol, but any symbol may be used as long as the position and size of the two characters can be specified, such as a rectangle or an s-shape.

また、上記実施例で示した正方形を結んだ線は文字列が
判定できる記号であればどのようなものでもよく2文字
列の次の文字を指す矢印マークでもよい。
Further, the line connecting the squares shown in the above embodiments may be any symbol as long as the character string can be determined, and may be an arrow mark pointing to the next character in two character strings.

また2上記実施例では1文字が縦横の正方向に置かれた
場合を示したが2文字が回転して置かれても、特定記号
により座標が判別するため文字が傾斜していても認識で
きる。
In addition, 2. In the above example, the case where one character is placed in the positive vertical and horizontal directions is shown, but even if two characters are placed rotated, the coordinates are determined by a specific symbol, so even if the characters are tilted, they can be recognized. .

また、上記実施例では、同一文字列内での文字サイズは
同一の場合を図示したが、同一文字列内にサイズが異な
る文字があっても、特定記号によりサイズが判定できる
ため認識できる。
Further, in the above embodiment, the case where the size of characters within the same character string is the same is illustrated, but even if there are characters of different sizes within the same character string, they can be recognized because the size can be determined by a specific symbol.

なお、特定記号の入力は、読み取り対象と同時入力して
も、また別々に入力しても本発明の効果は失われない、
また、認識できるのは文字のみに限らず、コード化され
登録されたものならどのような符号パターンテモよい。
Note that the effects of the present invention will not be lost even if the specific symbol is input at the same time as the object to be read or input separately.
Furthermore, it is not limited to only characters that can be recognized; any code pattern that has been encoded and registered may be used.

〔発明の効果〕〔Effect of the invention〕

以上のように、この発明によれば、特定記号により文字
の位置、サイズ、文字列を決定できるので2文字が任意
の位置に、任意のサイズで、任意の方向に存在していて
も正確に認識できる効果がある。また特定記号が付随し
ないものは認識しないため、入力画像に文字以外の図形
が混在していても無視されるため問題を起こさないとい
う効果もある。
As described above, according to the present invention, the position, size, and character string of a character can be determined by a specific symbol, so even if two characters are located at any position, at any size, and in any direction, they can be accurately determined. It has a discernible effect. Furthermore, since it does not recognize anything that is not accompanied by a specific symbol, even if the input image contains figures other than characters, they are ignored and do not cause any problems.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図はこの発明の一実施例を示す全体構成図。 第2図ないし第5図は第1図の文字認識装置の説明を助
けるための図で、第2図は読み取り対象となる文字が描
かれた図面、8g3図は第2図に対応した特定記号を示
す図、第4図は第3図に対応するデジタル画像の一部を
拡大して示した説明図。 第5図(は第4図から得られる白画素領域と文字の位置
情報を示す説明図、第6図は従来の文字認識装置を示す
全体構成図である。 図において、(l)は図面入力手段、(2)は画像記憶
手段、(3)は文字位置検出手段、(4)は文字情報記
憶手段、(5)は文字サイズ検出手段、+61H文字サ
イズ記憶手段、(7)は文字列検出手段、(81は文字
列情報記憶手段、(9)は文字画像切り出し手段、 +
1CIは文字画像記憶手段、 fLllは文字認識手段
、 (13は文字記憶手段、t13は認識結果修正手段
、 (141は修正結果記憶手段、(!9は文字抽出手
段、net文字列抽出手段である。 なお1図中同一符号は同一または相当部分を示す。
FIG. 1 is an overall configuration diagram showing an embodiment of the present invention. Figures 2 to 5 are diagrams to help explain the character recognition device shown in Figure 1. Figure 2 is a diagram depicting the characters to be read, and Figures 8g3 and 8g3 are specific symbols corresponding to Figure 2. FIG. 4 is an explanatory diagram showing an enlarged part of the digital image corresponding to FIG. 3. Figure 5 is an explanatory diagram showing the white pixel area and character position information obtained from Figure 4, and Figure 6 is an overall configuration diagram showing a conventional character recognition device. (2) is an image storage means, (3) is a character position detection means, (4) is a character information storage means, (5) is a character size detection means, +61H character size storage means, and (7) is a character string detection means. means, (81 is a character string information storage means, (9) is a character image cutting means, +
1CI is character image storage means, fLll is character recognition means, (13 is character storage means, t13 is recognition result correction means, (141 is correction result storage means, (!9 is character extraction means, net character string extraction means Note that the same reference numerals in each figure indicate the same or equivalent parts.

Claims (1)

【特許請求の範囲】 読み取つた図面のデジタル画像から文字を認識する文字
認識装置において、 (a)文字に付随した特定記号のデジタル画像から文字
の位置とサイズを検出し記憶する手段(b)文字に付随
した特定記号のデジタル画像から文字列を検出し記憶す
る手段 を備え、上記(a)の手段で記憶された文字の位置とサ
イズを用いて文字を認識し、上記(b)の手段で記憶さ
れた文字列から読み取り対象を認識することを特徴とし
た文字認識装置。
[Scope of Claims] A character recognition device that recognizes characters from a digital image of a read drawing, comprising (a) means for detecting and storing the position and size of a character from a digital image of a specific symbol attached to a character; (b) a character; comprises a means for detecting and storing a character string from a digital image of a specific symbol attached to the image; the character is recognized using the position and size of the character stored by the means (a) above, and the character string is recognized by the means (b) above. A character recognition device characterized by recognizing a reading target from a stored character string.
JP63189911A 1988-07-29 1988-07-29 Character recognition device Expired - Lifetime JP2586117B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP63189911A JP2586117B2 (en) 1988-07-29 1988-07-29 Character recognition device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP63189911A JP2586117B2 (en) 1988-07-29 1988-07-29 Character recognition device

Publications (2)

Publication Number Publication Date
JPH0239388A true JPH0239388A (en) 1990-02-08
JP2586117B2 JP2586117B2 (en) 1997-02-26

Family

ID=16249272

Family Applications (1)

Application Number Title Priority Date Filing Date
JP63189911A Expired - Lifetime JP2586117B2 (en) 1988-07-29 1988-07-29 Character recognition device

Country Status (1)

Country Link
JP (1) JP2586117B2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5729630A (en) * 1990-05-14 1998-03-17 Canon Kabushiki Kaisha Image processing method and apparatus having character recognition capabilities using size or position information

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5762464A (en) * 1980-10-02 1982-04-15 Fujitsu Ltd Format input system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5762464A (en) * 1980-10-02 1982-04-15 Fujitsu Ltd Format input system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5729630A (en) * 1990-05-14 1998-03-17 Canon Kabushiki Kaisha Image processing method and apparatus having character recognition capabilities using size or position information

Also Published As

Publication number Publication date
JP2586117B2 (en) 1997-02-26

Similar Documents

Publication Publication Date Title
US4813078A (en) Character recognition apparatus
JPH04104324A (en) Program generating device
JPS63182793A (en) Character segmenting system
CN111126266A (en) Text processing method, text processing system, device, and medium
JPH0239388A (en) Character recognizing device
JPH06208625A (en) Method and device for processing image
JPH07230526A (en) Character reader
JPH0697470B2 (en) Character string extractor
JPS6172374A (en) Character recognizer
JPH07160810A (en) Character recognizing device
JP3710164B2 (en) Image processing apparatus and method
JPS6252911B2 (en)
JPH0658689B2 (en) Line figure separation device
JPS62212886A (en) Drawing input device
JPS62133584A (en) Document image processing system
JPH04260980A (en) Device for recognizing graphic
JP2022041468A (en) Identification method, information processing system, method, and program
JPH02171976A (en) Character recognizing device
CN115830607A (en) Text recognition method and device based on artificial intelligence, computer equipment and medium
JPS6249482A (en) Image preprocessing device
JPH0434793B2 (en)
JPH0656624B2 (en) Feature extraction method
JPH02159690A (en) Device for deciding character/pattern area
JPH01201789A (en) Character reader
JPH01282683A (en) Picture thinning line system adding line width information