JPH11191159A - Image output device and program recording medium therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To output a fair image only by drafting the simplified image of the desired picture on a tablet. SOLUTION: When the simplified image simplifying the picture is handwritten and inputted on a tablet 7, a CPU 1 fetches this simplified image as the draft pattern of the picture and retrieves its input position. Based on this draft pattern, image recognition is performed and recognized image data are outputted at the detected input position.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to an image output apparatus for outputting clip art and the like, and a program recording medium therefor.

[0002]

2. Description of the Related Art Conventionally, when a presentation material or various guide letters are created in a word processor, a personal computer or the like, an image such as an illustration is inserted into a document. In this case, the contents of the illustration memory are displayed in a list, and an arbitrary illustration is selected and designated, and an image captured from an image input device is pasted into a document.

[0003]

However, selecting clip art from a list requires a lot of trouble as the number of clip arts increases, and also places the selected clip art in any position and in any size. It was necessary to specify whether to paste, and it was extremely difficult to create presentation materials and the like according to the image of the user. This is the same for the image taken from the image input device. The object of the present invention is to
The purpose is to output a copy-finished image simply by drafting a simplified image of a desired image on a tablet.

[0004]

The means of the present invention are as follows. According to the first aspect of the present invention, when a simplified image obtained by simplifying an image is input by handwriting on a tablet, writing means for writing the simplified image as a draft image of the image in a pattern memory, and detecting an input position of the draft image Position detecting means, image storing means for storing various kinds of image data, image recognizing means for retrieving image data corresponding to a draft image in the pattern memory from the image storing means, and recognizing the image. Output means for outputting the image data recognized by the recognition means to the input position detected by the position detection means. The present invention may be as follows. When inputting a simple image of a handwritten image on a tablet and mixing handwritten characters,
Indicating means for indicating a simple image or a character pattern;
A character recognizing means for extracting a character pattern from the pattern memory and performing character recognition when the character pattern is instructed by the instructing means, wherein the image recognizing means indicates that the image is a simplified image by the instructing means. At this time, a simplified image is cut out from the pattern memory to perform image recognition, and the output unit outputs the character recognized by the character recognition unit and the image recognized by the image storage unit in a mixed manner. The image storage means stores the simplified image and the image data in association with each other for each image, and the figure recognizing means searches the image storage means for a simplified image similar to the draft image in the pattern memory and responds. Convert to image data. Characteristic information storage means for storing the characteristics of an image as a character string in association with image data, and handwritten input of a simplified image of an image on a tablet, and simplified input of a character string indicating the characteristics of the image by handwriting Instruction means for designating an image or a character string, and character recognition means for cutting out a character string pattern from the pattern memory and performing character recognition when the instruction means designates a character string, The image recognition means, when instructed by the instruction means to be a simplified image, cuts out the simplified image from the pattern memory and searches the image memory, and based on the character string recognized by the character recognition means, Image recognition is performed by searching the characteristic information storage means. Size detection means for detecting the input size of the draft image is provided, and the output means outputs the image data of which the image has been recognized to the input position detected by the position detection means with the input size detected by the size detection means. Angle detecting means for detecting the inclination angle of the draft image is provided, and the output means outputs the image data of which the image has been recognized to the input position detected by the position detecting means at the angle detected by the angle detecting means. Direction detecting means for detecting the direction of the draft image is provided, and the output means outputs the image data of which the image has been recognized to the input position detected by the position detecting means in the direction detected by the direction detecting means.

According to the first aspect of the invention, when a simplified image obtained by simplifying an image is input by handwriting on a tablet, the simplified image is written in a pattern memory as a draft pattern of the image, and the input position is detected. . Then, image recognition for retrieving image data corresponding to the draft image from the image storage means is performed, and the recognized image data is output to the detected input position. Therefore, a simply-printed image can be output simply by drafting a simplified image of the desired image on the tablet.

[0006]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to FIGS. FIG. 1 is a block diagram showing an overall configuration of a data processing device with a tablet.
The CPU 1 is a central processing unit that controls the overall operation of the data processing device according to various programs loaded in the RAM 2. The storage device 3 includes a storage medium 4 in which an operating system, various application programs, data files, character font data, and the like are stored in advance, and a drive system thereof. The storage medium 4 is fixedly provided or removably mountable, and includes a floppy disk, a hard disk,
It is composed of a magnetic / optical storage medium such as an optical disk and a RAM card, and a semiconductor memory. Further, the programs and data in the storage medium 4 are stored in a CPU
1 is loaded into the RAM 2. Furthermore, CP
U1 is a program that receives a program and data transmitted from another device via a communication line or the like and stores it in the storage medium 4, or a program stored in a storage medium provided in the other device. And data can be used via a communication line or the like. The input device 5, the display device 6, and the tablet 7, which are input / output peripheral devices, are connected to the CPU 1 via a bus line. The CPU 1 controls these operations according to an input / output program.

The input device 5 has a pointing device such as a keyboard and a mouse for inputting character string data and the like and for inputting various commands. Here, when the character string data is input from the input device 5, it is displayed on the text screen of the display device 6, and the determined character string determined by the kana-kanji conversion is stored in the RAM 2.
The display device 6 is a liquid crystal display device, a CRT display device, a plasma display device, or the like for multicolor display. The tablet 7 is formed in a flat plate shape, and a pressure-sensitive type in which writing data is input by detecting the position coordinates based on the pen pressure applied through the entry sheet in a state where the entry sheet is superimposed thereon. It is a coordinate input device. FIG. 2 shows the tablet 7 and the touch switches arranged in the vicinity thereof. The calibration markers 7a formed at the four corners of the tablet 7 are touched when positioning the entry paper. Clear switch C in switch area
RS, end switch FIS, graphic switch FGS, attribute switch ATS, character switch CHS, next candidate switch NXS, previous candidate switch FRS, and text call switch TXS are provided. The clear switch CRS instructs the erasure of the input writing data, the end switch FIS instructs the end of the writing input, and the figure switch FGS displays the simplified image of the image showing the picture, figure, etc. This is a switch for instructing that graphic recognition should be performed based on this. In order to assist figure recognition, the attribute switch ATS determines that when a character string indicating what kind of figure is included in the simplified image is handwritten as an attribute of the simplified image, the character string is an attribute of the simplified image. This is a switch for instructing. The character switch CHS is a switch for instructing that normal character recognition should be performed. The next candidate switch NXS instructs the selection of the next candidate from the group of candidates in which the figure and the character have been recognized, and the previous candidate switch FRS is 1
This is a switch for instructing selection of the previous candidate.

FIG. 3A shows a part of the storage device 3. The storage device 3 has a character recognition program CP for performing character recognition based on handwritten data, a graphic recognition program FP for performing graphic recognition, and a character recognition process. Character recognition dictionary C used
D, a figure recognition dictionary FD and a figure file FF used in the figure recognition processing are stored. FIG. 4 schematically shows the configuration of the figure recognition dictionary FD. The figure recognition dictionary FD is logically divided into a first layer and a second layer, and the first layer is a simplified image representing a picture, a figure, or the like. And the title name or group name is stored. The second hierarchy stores keywords and attributes indicating specific contents in association with a title name or a group name linked to the first hierarchy, and also stores a clip art name (image name). ing. For example, the title name or group name “animal-4leg” is associated with a simplified image representing an animal.
Are stored as first-level information, and the keywords “lion”, “horse”, “cow” are stored in association with the title name or group name “animal-4leg”, and the keyword “lion” is stored. , And the title is stored as the second hierarchy for each of the attributes “walk”, “run”, “sleep”, “jump” and the attributes. The graphic recognition program FP stores image data (clip art) such as an illustration, a picture, and a graphic for each title, and the image data may be draw-based data in addition to the bitmap image data.

FIG. 3B is a diagram showing a main configuration of the RAM 2, and various memory areas are allocated to the RAM 2 as needed. The pattern buffer 2-1 is an input buffer for temporarily storing handwritten data input on the tablet 7 by handwriting.
The character recognition and the figure recognition are performed by taking in the writing data in -1. The candidate list memory 2-2 temporarily stores a character-recognized candidate group and a graphic-recognized candidate group, and the text memory 2-3 is a memory for storing character string information and image information in a code format. The work memory 2-4 is a work area for temporarily storing various programs, intermediate results of processing, and the like.

Next, the operation of the data processing apparatus will be described with reference to FIGS.
This will be described according to the flowchart shown in FIG. here,
Programs for realizing the functions described in these flowcharts are stored in the storage medium 4 in the form of program codes readable by the CPU 1, and
The contents are loaded in the work memory 2-4 in the RAM 2. FIG. 5 is a flowchart showing an outline of the whole operation at the time of writing data input. First, in the input waiting state (step A1), when it is detected that writing data has been input based on the pen pressure applied to the writing area on the tablet 7 (step A2), the CPU 1 takes in the writing data. While temporarily storing the data in the pattern buffer 2-1, the handwriting data is echoed back and displayed on the text screen of the display device 6 (step A3). In this case, when a simplified image of the image is input by handwriting,
The figure switch FGS is operated to instruct the figure recognition (step A4). Then, the process proceeds to the execution of the graphic recognition process (step A5). FIG. 9A illustrates a case where a simplified image of a walking lion is input by handwriting.
A simplified image is input by dividing each part such as a head, a torso, and a leg. After inputting the entire image, the figure switch FGS is operated.

FIG. 6 is a flowchart showing the graphic recognition processing. First, it is checked whether or not graphic candidates are displayed on the text screen (step B1). If a candidate whose graphic has been recognized by previously inputting a simplified image of an image is displayed, the graphic switch F is used.
In response to the GS operation, the graphic candidate being displayed is determined, and the size, orientation, and angle detected in advance are written in the text memory 2-3 together with the clip art name (title) (step B2). In this case, if the simplified image of the image is input by hand and the simplified image is set in the pattern buffer 2-1, the presence of the input pattern is detected in step B3. The process proceeds to a pattern matching process for recognizing a pattern as a figure (step B4).

FIG. 7 is a flowchart showing the pattern matching process. First, the pattern buffer 2-
1, a rectangular frame (virtual frame) circumscribing the input pattern (simplified image of the image) is defined (step C1), and the rectangular frame size (horizontal size, vertical size) is detected. The size of the input pattern is set in the work memory 2-4 (step C2). Next, the upper left and lower right positions of the rectangular frame are detected and set as the handwritten position of the input pattern in the work memory 2-4 (step C3). Then, the size of the input pattern is compared with a predetermined image standard size, and the input pattern is enlarged / reduced to this standard size (step C4). After detecting the size and position of the input pattern and changing it to the standard size, the process proceeds to step C5, and the input pattern is rotated by -30 degrees. That is,
The input pattern is rotated clockwise by 30 degrees with the lower side of the rectangular frame defined in the input pattern as a reference axis. In this state, a graphic recognition process for collating the input image with the simplified image defined as the first layer of the graphic recognition dictionary FD is performed (step C6). As a result, it is determined whether there is a simplified image matching the input pattern. Check (Step C
7). Here, if there is a corresponding simplified image and it is recognized normally, the title name / group name is set in the candidate list memory 2-2, and the figure angle and direction (forward direction) of the input pattern at that time are set. However, if it cannot be recognized (step C8), such processing is not performed. Then, the input pattern is rotated by +10 degrees (step C9), and the rotation angle is +10 degrees with respect to the original pattern.
Check if it has exceeded 30 degrees (step C10),
The process returns to step C6 until the angle exceeds 30 degrees, and the above operation is repeated. In this way, figure recognition is performed while rotating the input pattern by +10 degrees, and the recognition results are sequentially set in the candidate list memory 2-2. Thus, each time a simplified image similar to the input pattern is searched, its title name / group name is sequentially set in the candidate list memory 2-2.

Next, after the original input pattern is reversed left and right, that is, rotated in the opposite direction (step C11), the input pattern is rotated by -30 degrees (step C12). Then, a graphic recognition process for collating the input pattern with the simplified image is performed (step C13), and as a result, it is checked whether a simplified image matching the input pattern exists (step C14). Here, if there is a corresponding simplified image and it is recognized normally, the candidate list memory 2-
Set the title / group name in 2 and
The rotation angle and direction (reverse direction) of the input pattern at that time are set (step C15), but if recognition is not possible, such processing is not performed. Then, the input pattern is rotated by +10 degrees (step C16), and it is checked whether the rotation angle exceeds +30 degrees with respect to the original pattern (step C17).
Returning to step 13, the above operation is repeated. After reversing the direction of the input pattern in this manner, figure recognition is performed while rotating the pattern by +10 degrees, and the recognition results are sequentially set in the candidate list memory 2-2. Then, step C18
Then, the clip art is extracted from the image file FF corresponding to the contents of the candidate list memory 2-2 and compared with the input pattern. To edit. That is, since the title / group name is set in the candidate list memory 2-2, the second layer of the graphic recognition dictionary FD is accessed based on the title / group name, and all the corresponding titles are read and the image file FF is stored. By accessing and comparing the clip art with the input pattern, the contents of the candidate list memory 2-2 are re-edited in descending order of similarity. Then, the process proceeds to the next step C19, where the rotation angle and the direction corresponding to the candidate (first candidate) having the highest similarity are read out from the candidate list memory 2-2 and set in the work memory 2-4.

When the matching process using the graphic recognition dictionary FD is completed, the process proceeds to step B5 in FIG.
It is checked whether there are a plurality of keywords and attributes in the second hierarchy in the graphic recognition dictionary FD corresponding to the title / group name of the first candidate. Here, if a plurality of keywords and attributes exist in the graphic recognition dictionary FD as the information of the second hierarchy, the keywords,
Guidance display that a character string representing an attribute should be input is displayed (step B10). Then, it is determined whether the character string is input and the attribute switch ATS is operated (step B11). The process returns to step B10 until the attribute switch ATS is operated, and waits for input. Here, when the attribute switch ATS is operated, it is checked whether or not the input character string is included in the simplified image (step B12). If the input character string is included, the character for collating the input character string with the character recognition dictionary CD is checked. The recognition process is performed (step B13). If the input character string is not written in the simplified image, the process returns to step B10 to cancel the input character string, and the keyword,
Guidance display that attributes should be re-entered. Now
If the keyword and the attribute are recognized, the process proceeds to step B14, where the title / group name corresponding to the first candidate is read from the candidate list memory 2-2 to access the second hierarchy in the character recognition dictionary CD, and , Search for keywords and attributes in the second hierarchy based on the result of character recognition,
Read the title corresponding to it. Now, FIG. 9 (A)
Assuming that a character string of "lion" as a keyword and "walking" as an attribute is key-inputted in a simplified image as shown in FIG. 7, "lion-walk" is read as a corresponding title in the second hierarchy.

On the other hand, keywords corresponding to the title / group name of the first candidate are stored in the second layer in the graphic recognition dictionary FD.
If a plurality of attributes are not set and the title of the second hierarchy can be directly specified by the title / group name of the first hierarchy (NO in step B5), or a plurality of keywords and attributes are set in the second hierarchy If the title has been specified by the processing of steps B10 to B14, the process proceeds to step B6, where the image file FF is accessed based on the title, and the corresponding clip art is stored in the first candidate. And the image data of the first candidate is enlarged / reduced according to the rectangular frame size of the input pattern. Next, the first candidate is inverted according to the direction of the input pattern (step B7), and the first candidate is rotated according to the rotation angle of the input pattern (step B8). Then, the image data of the first candidate is displayed and output according to the handwritten position of the input pattern (step B9).

When the simplified image of the image is written as the draft image in this manner, a graphic recognition process is performed, and the first candidate image data is displayed and output in a form which is clearly written as the draft image. In this case, if the first candidate is not the desired image, the next candidate switch NXS or the previous candidate switch FRS is operated to instruct the switching of the candidate.
Then, this is detected in step A8 of FIG. 5, and the process proceeds to step A9, where a candidate switching process is performed. FIG.
Is a flowchart showing this candidate switching process. First, it is checked whether the next candidate switch NXS has been operated but the previous candidate switch FRS has been operated (step D).
1) When the previous candidate switch FRS is operated, the immediately preceding candidate in the candidate list memory 2-2 is accessed (step D2), and it is checked whether there is a title / group name as the previous candidate (step D2). Step D4) When the next candidate switch NXS is operated, the candidate list memory 2-
The next candidate in 2 is accessed (step D3), and it is checked whether there is a title / group name as the next candidate (step D4). Here, if there is no corresponding selection candidate, the process exits from this flow to invalidate the operation of the previous candidate switch FRS and the next candidate switch NXS, but if there is a selection candidate, the title / group name corresponding to the selection candidate Then, the second level in the graphic recognition dictionary FD is accessed based on the (step D5), and it is checked whether a plurality of keywords and attributes are set in the second level (step D6). Hereinafter, basically the same processes as those in steps B6 to B14 in FIG. 6 described above are performed (steps D7 to D15). That is, if the title can be specified only in the first layer (NO in step D6), the image corresponding to the title is displayed as a candidate according to the size, orientation, angle, and position of the input pattern (step D12 to D15), if the title cannot be specified only in the first hierarchy, the input of the keyword and the attribute is prompted, and if the title can be specified accordingly (step D).
7 to D11), candidates for the image corresponding to the title are displayed according to the size, orientation, angle, and position of the input pattern (steps D12 to D15). The image displayed as a candidate based on the simplified image in this manner is image data obtained by copying the draft image as shown in FIG. 9B.
In this case, the size, position, orientation, and angle are all the same as the original draft image.

On the other hand, when the non-conversion switch (not shown) is operated, it is detected at step A10 in FIG.
The simplified image in 1 is determined without recognizing the figure. At that time, link information for designating the simplified image is written in the text memory 2-3, and the simplified image is written in the image memory (not shown). On the other hand, if the character switch CHS is operated, the fact is detected in step A6 and the process proceeds to step A7, where the pattern input by handwriting is fetched as a character string pattern, and the normal character recognition processing is performed using the character recognition dictionary CD Is performed, and the character string code recognized thereby is written to the text memory 2-3. Further, when the text call switch TXS is operated, the fact is detected in step A12, and the process proceeds to step A13, in which the contents of the text memory 2-3 are sequentially read out and output. If they overlap, the clip art is overwritten and output in the order of input.

As described above, in this data processing device with a tablet, when a simplified image obtained by simplifying an image is input by handwriting on the tablet 7, the simplified image is used as a draft image of the pattern buffer 2-1.
, And refers to the figure recognition dictionary FD based on the draft image, and stores the corresponding image data in the image file F.
Since the image is read out from F and output to the input position of the draft image, an image in which the simplified image is handwritten can be obtained simply by inputting the simplified image. Here, if the corresponding image cannot be figure-recognized only by the draft image, a character string representing the characteristic (keyword, attribute) is input into the simplified image for the purpose of assisting the figure recognition. Images can be recognized.
At this time, since the character strings indicating the keywords and the attributes are also input by handwriting on the tablet 7, the correspondence with the simplified image is more accurate than the keyboard input, and two types of input devices are operated. No hassle.

Further, the image whose graphic has been recognized based on the simplified image is output as the simplified image in accordance with the input position, angle, orientation, and size of the simplified image. be able to. In this case, since information on the input position, angle, orientation, and size can be automatically obtained by analyzing the input pattern, the trouble of inputting them is not required, and the thinking is not hindered. Further, since the graphic recognition is performed in real time, the candidate can be switched on the spot when the recognition is erroneous. Therefore,
It is possible to quickly create presentation materials and the like, as compared with the case where images are captured by an image scanner. Also, since a simple image is handwritten on the tablet 7 with an entry sheet placed thereon, it is possible to write small pictures and characters without being affected by the resolution of the display screen as in a tablet with a display screen. Because it is writing on paper that you are used to, the writing feel is natural and easy to write. Also, as shown in FIG. 10 (A), even if a handwritten input is made with a character string mixed in addition to a simplified image of the image as a draft,
Since the graphic recognition and the character recognition are performed separately, it is possible to make a clear copy in a state where the image and the character string are mixed. FIG.
Reference numeral 1 denotes a combined image obtained by superimposing a plurality of images. That is, a combined image obtained by sequentially inputting three types of simplified images in the order of their superposition and performing graphic recognition for each of the simplified images, the second image being input on the first input image. The image is overwritten, and the last input image is overwritten and output.

In the above-described embodiment, a simple image is input by placing a sheet of paper on the tablet 7. However, a touch screen in which the tablet 7 is formed of a transparent touch panel and a display screen is disposed below the transparent touch panel is provided. It may be. The tablet 7 is not limited to the pressure-sensitive type, but may be an electromagnetic induction type tablet. Further, when a simplified image is handwritten, the color of each part may be designated by handwritten characters. In this case, each part of the fairly-printed image is colored with the designated color. Although the simplified image is stored in the figure recognition dictionary, the image file F
The outline of the image data in F may be analyzed and compared with the input pattern. The image data in the image file FF may be bitmap image data read by an electronic camera or an image scanner.

[0021]

According to the present invention, a simply-printed image can be output only by drafting a simplified image of a desired image on a tablet, so that presentation materials and the like can be quickly created. .

[Brief description of the drawings]

FIG. 1 is a block diagram showing an overall configuration of a data processing device with a tablet.

FIG. 2 is a diagram showing a tablet 7 and various switches arranged near the tablet 7;

FIG. 3A is a diagram showing a part of a storage device 3;
FIG. 3B is a diagram showing a main configuration of a RAM 2.

FIG. 4 is a diagram schematically showing a configuration of a graphic recognition dictionary FD.

FIG. 5 is a flowchart showing an outline of the overall operation.

FIG. 6 is a flowchart showing step A7 (character recognition processing) in FIG. 5;

FIG. 7 is a flowchart showing step B4 (pattern matching processing) in FIG. 6;

FIG. 8 is a flowchart showing step A9 (candidate switching processing) in FIG. 5;

9A is a diagram showing a simplified image of an image input by handwriting, and FIG. 9B is a diagram showing an image obtained by copying the simplified image.

FIG. 10 shows an example in which an image and a character string are mixed,
FIG. 7A is a diagram showing data input by handwriting, and FIG.

FIG. 11 is a diagram showing a combined image obtained by superimposing a plurality of images.

[Explanation of symbols]

 1 CPU 2 RAM 2-1 Pattern buffer 2-2 Candidate list memory 2-3 Text memory 2-4 Work memory 3 Storage device 4 Storage medium 5 Input device 6 Display device 7 Tablet CP Character recognition program FP Graphic recognition program CD Character recognition Dictionary FD Graphic recognition dictionary FF Image file

Claims (8)

[Claims] 1. A writing means for writing a simplified image obtained by simplifying an image on a tablet as a draft image of the image in a pattern memory, and a position detector for detecting an input position of the draft image. Means, image storage means for storing various image data, image recognition means for retrieving image data corresponding to a draft image in the pattern memory from the image storage means and performing image recognition, An output unit that outputs the recognized image data to an input position detected by the position detection unit. 2. An instructing means for instructing whether a simplified image or a character pattern is to be input when a simplified image of an image is handwritten on a tablet and a character pattern is mixed and handwritten. A character recognition unit that cuts out a character pattern from the pattern memory when instructed to perform character recognition, and wherein the image recognizing unit reads out the pattern memory from the pattern memory when instructed by the instruction unit to be a simplified image. The image recognition is performed by cutting out a simplified image, and the output unit outputs the character recognized by the character recognition unit and the image recognized by the image storage unit in a mixed manner. 2. The image output device according to 1. 3. The image storage means stores a simplified image and image data in association with each other for each image, and the figure recognizing means stores a simplified image similar to a draft image in the pattern memory from the image storage means. 2. An image output apparatus according to claim 1, wherein said image output apparatus is searched and converted into corresponding image data. 4. Characteristic information storage means for storing characteristics of an image as a character string in association with image data, and a handwritten input of a simplified image of the image on a tablet, and a handwritten input of a character string indicating the characteristics of the image. Instruction means for instructing whether the image is a simple image or a character string, and character recognition means for performing character recognition by cutting out a character string pattern from the pattern memory when the instruction means instructs a character string. When the image recognition means is instructed by the instruction means to be a simplified image, the image recognition section cuts out the simplified image from the pattern memory and searches the image memory, and the character recognized by the character recognition means. 2. An image according to claim 1, wherein image recognition is performed by searching said characteristic information storage means based on a column. Power equipment. 5. A size detecting means for detecting an input size of a draft image, wherein said output means inputs the image data of which the image has been recognized into an input position detected by said position detecting means. 2. The image output device according to claim 1, wherein the image is output in a size. 6. An angle detecting means for detecting an inclination angle of a draft image, wherein said output means converts the image data obtained by image recognition into an input position detected by said position detecting means, and detects an angle detected by said angle detecting means. 2. The image output apparatus according to claim 1, wherein the image is output by the following. 7. An apparatus according to claim 1, further comprising: a direction detecting unit configured to detect a direction of the draft image, wherein the output unit converts the image data obtained by the image recognition into an input position detected by the position detecting unit in a direction detected by the direction detecting unit. The image output device according to claim 1, wherein the image is output toward the image output device. 8. When a simplified image obtained by simplifying an image is input to a computer by handwriting, the simplified image is extracted as a draft image, and image data corresponding to the draft image is converted to an image. A program for realizing a function of performing image recognition by retrieving from a storage unit, a function of detecting an input position of a handwritten image, and a function of outputting image data having image recognition to the detected input position is recorded. recoding media.