JP2016224510A - Information processor and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processor for discriminating access by a human being using a client terminal from access by a bot started on a computer while improving the operability of a user.SOLUTION: An information processor includes: a storage part for storing a first image 271 and a second image 274 including a character string explaining the first image 271 in association; a presentation part for presenting the second image 274 and the first image 271 and a third image 273 which is not stored in association with the character string in accordance with the reception of a request for processing from a terminal; and an acceptance part for accepting the selection of the image associated with the second image 274 from the first image 271 and the third image 273 from the terminal, therein when the first image 271 is selected, processing is executed to the terminal.SELECTED DRAWING: Figure 4

Description

  The present invention relates to an information processing apparatus and a computer program.

  User participation type content generation systems such as electronic bulletin boards, blogs, and WIKIPEDIA (registered trademark) on the Internet are widely used.

  In these systems, in addition to browsing information displayed on a website, a user can often post information on the website when performing user registration.

  However, annoying acts using computer programs called Internet bots (hereinafter referred to as bots) that exploit such features and automatically exchange with servers are also increasing.

  In particular, in a service that allocates e-mail addresses for free, there is a problem that a large amount of addresses are automatically acquired using a bot, and spam mail is sent to an unspecified number of people using the acquired large amount of e-mail addresses. It has become. In addition, annoying acts contrary to the purpose of use of the user-participating content generation system, such as automatically posting a large number of advertisements, are also problematic.

  In order to prevent these actions, a mechanism called an anti-robot test has been devised and widely used in content generation systems and the like.

  In a system in which the anti-robot test is implemented, it is determined whether a human is accessing from a client terminal or from a bot activated on a computer. In this system, the processing is continued only when it is determined that the person is a human.

  Specifically, in the anti-robot test, information that is identifiable to humans but cannot be automatically identified or difficult by the computer that started the bot, for example, an image containing deformed characters, is displayed and is identical to the information. Processing is continued when the input is accepted.

  For example, in a system in which the anti-robot test is implemented, an image in which a plurality of characters and images are represented by small colored dots is displayed. If characters and symbols in the image are entered into the input form on the system, processing continues.

  Such an anti-robot test is called a visual anti-robot test and is widely used.

  The visual anti-robot test is realized by focusing on the fact that it is difficult for a human to read characters in an image, but it is difficult to do this with a computer program.

  However, with advances in character recognition technology in images by computers such as OCR (Optical Character Recognition), there are cases where the anti-robot test does not function effectively. In an attempt to obstruct character recognition by OCR, a technique called image authentication (Captcha) uses image data using characters and symbols that are distorted or obscured.

  When accessing a system in which the anti-robot test is implemented, the user needs to input characters and symbols displayed in the image each time, and the user's operation is complicated.

  In addition, with the improvement of character recognition technology in images by computers, the display method of characters in images has become complicated, and there are cases where it is difficult for humans to decipher.

  In order to solve this problem, an anti-robot test has been proposed in which a plurality of images including an original image and a processed image of the original image are displayed and the user clicks on the original image (Patent Document 1). However, there is a limit to the number of image patterns, and there is a problem that authentication can be easily broken by learning.

  In view of the above problems, the present invention provides an information processing apparatus and a program for discriminating between access by a human using a client terminal and access by a bot activated on a computer while improving user operability. Aims to do

  The information processing apparatus according to the present embodiment includes a storage unit that stores a first image and a second image including a character string that describes the first image in association with each other, and a request for a process from the terminal. In response to the reception, the presentation unit that presents the second image, the first image, and the third image that is not stored in association with the character string to the terminal, and the first image From the image and the third image, a reception unit that accepts selection of an image associated with the second image from the terminal, and when the first image is selected, the processing is executed. And an execution unit.

  According to the present embodiment, it is possible to provide an information processing apparatus and a program for discriminating between access by a human using a client terminal and access by a bot activated on a computer while improving user operability. Is possible.

It is a figure which shows an example of the system configuration | structure which concerns on 1st Embodiment. It is a figure which shows an example of the hardware constitutions of the server of 1st Embodiment, and a client. It is a figure which shows an example of the function structure of the server of 1st Embodiment, and a client. In the first embodiment, the authentication image presentation unit presents an image to the client. It is a flowchart explaining operation | movement of the authentication system of 1st Embodiment. It is a figure which shows an example of the image of a short sentence in 1st Embodiment. It is a figure which shows an example of the image of a short sentence in 1st Embodiment. It is a figure which shows an example of the image of a short sentence in 1st Embodiment. It is a figure which shows an example of the image of a short sentence in 1st Embodiment. It is a figure which shows an example of the image of a short sentence in 1st Embodiment. In 2nd Embodiment, it is an image which an authentication image presentation part shows to a client. In 3rd Embodiment, it is a figure which shows an example of the image of a short sentence and a short sentence. It is a figure which shows an example of the correspondence of a short sentence and an original image in 3rd Embodiment.

[First Embodiment]
A first embodiment will be described with reference to the drawings.

<Overall system configuration>
FIG. 1 is a diagram illustrating an example of a system configuration according to the first embodiment.

  In FIG. 1, an authentication system 100 is a client / server type system having a server 200, a client 300A, a client 300B, and a client 300C (hereinafter collectively referred to as a client 300).

  In the present embodiment, when the server 200 receives a user authentication request from the client 300, the server 200 is an access from a person via the client 300 or an access from a bot activated on the client 300. Is determined. Specifically, the server 200 causes the client 300 to display a determination screen for determining whether the access is from a human.

  The server 200 performs the determination based on the result input by the client 300 on the determination screen.

  When the server 200 recognizes an access from a human through the client 300, the server 200 causes the client 300 to display a user authentication screen.

  That is, the server 200 of this embodiment is an authentication device that receives an authentication request from the client 300 and performs authentication.

  In the authentication system 100 according to the present embodiment, communication between the server 200 and the client 300 is performed via HTTP (HyperText Transfer Protocol) or HTTPS (HyperText Transfer Protocol Security) which is an encrypted HTTP.

  The server 200 transmits information in the HTML (HyperText Markup Language) format and the like to the client 300 in response to a request from the client 300.

  Note that the communication protocol used for communication between the server 200 and the client 300 is not limited to the above-described HTTP and HTTPS, and it is needless to say that communication may be performed by other methods.

  The server 200 and the client 300 are realized by a general computer having an arithmetic processing device such as a CPU (Central Processing Unit) and a storage device.

<Hardware configuration>
FIG. 2 is a diagram illustrating an example of a hardware configuration of the server 200 and the client 300 according to the present embodiment.

  The server 200 includes an arithmetic processing unit 11, a memory unit 12, a display unit 13, an input unit 14, an auxiliary storage unit 15, a drive unit 16, and an interface unit 17, each of which is a system. Connected via bus B.

  The arithmetic processing unit 11 controls the server 200 according to a program stored in the memory device 12.

  The memory device 12 includes a RAM (Random Access Memory) and a ROM (Read-Only Memory). The memory device 12 stores a program executed by the arithmetic processing device 11, data necessary for processing by the arithmetic processing device 11, data obtained by processing by the arithmetic processing device 11, and the like. A partial area of the memory device 12 is allocated as a work area used for processing in the arithmetic processing unit 11.

  The display device 13 displays various necessary information according to the control of the arithmetic processing device 11. The input device 14 includes a mouse, a keyboard, and the like, and is used for inputting various information necessary for the server 200 to perform processing.

  The auxiliary storage device 15 is composed of, for example, a hard disk and stores data such as programs for executing various processes.

  The interface device 17 is a communication device for the server 200 to perform network communication with the outside. A program that realizes the processing in the authentication method performed by the server 200 may be downloaded via the network by the interface device 17 and installed in the auxiliary storage device 15.

  When the server 200 has an interface such as a USB (Universal Serial Bus) for connecting to an external storage device, the interface device 17 may read the program from the external storage medium by USB connection.

  A program that realizes processing in the authentication method performed by the server 200 may be provided to the server 200 by the storage medium 18 such as a CD-ROM (Compact Disk Read-Only Memory).

  In this case, when the storage medium 18 storing the program is set in the drive device 16, the drive device 16 reads the program from the storage medium 18, and the read program is connected to the auxiliary storage device 15 via the system bus B. To be installed. When the program is activated, the arithmetic processing unit 11 starts its processing according to the program installed in the auxiliary storage device 15.

  The medium for storing the program is not limited to the CD-ROM, and any medium that can be read by a computer may be used.

  The client 300 according to the present embodiment has the same hardware configuration as that of the server 200, and a description thereof will be omitted.

<Functional configuration>
FIG. 3 is a diagram illustrating an example of functional configurations of the server 200 and the client 300 according to the present embodiment.

(1) Server The server 200 according to the present embodiment includes an authentication unit 210, an authentication image generation unit 220, an authentication image presentation unit 230, a communication unit 240, a service providing unit 250, a control unit 260, and a database. 270.

  The authentication unit 210 includes a determination unit 211 and a user authentication unit 212. The determination unit 211 determines whether the access is from a human based on the information received from the client 300. When the access is from a human, the user authentication unit 212 authenticates the user. Details of the processing of the determination unit 211 will be described later.

  The authentication image generation unit 220 includes an image acquisition unit 221 and a short sentence processing unit 222.

  The image acquisition unit 221 acquires the original image 271 stored in the database 270 and a short sentence 272 that describes the content. In addition, the image acquisition unit 221 acquires the dummy image 273 from the image group stored in the database 270.

  The short sentence processing unit 222 performs a character transformation process on the short sentence 272, and generates a short sentence image 274 processed so that the readability of the short sentence 272 is lowered.

  In addition to the character transformation process, the short sentence processing unit 222 may delete a part of the characters included in the short sentence 272.

  The authentication image presenting unit 230 presents the short text image 274, the original image 271 associated with the short text 272, and the dummy image 273 to the client 300.

  The communication unit 240 is an interface for performing communication with the client 300.

  The service providing unit 250 provides a service to the client 300 in response to a service request received from the client 300 when the authentication by the authentication unit 210 is successful.

  The control unit 260 performs various controls of the server 200 including the authentication unit 210, the authentication image generation unit 220, the authentication image presentation unit 230, the communication unit 240, and the service providing unit 250.

  The database 270 is provided, for example, in the auxiliary storage device 15 and stores the original image 271 and the short sentence 272 in association with each other. One or more short sentences 272 may be stored for each original image 271.

  The image presented by the authentication image presentation unit 230 to the client 300 will be described with reference to FIG.

  The authentication image presenting unit 230 displays a short text image 274 generated by the character transformation process of the short text 272, an original image 271 associated with the short text 272, and a dummy image 273.

  In the example of FIG. 4, a question sentence including a short sentence image 274 generated by the character transformation process of the short sentence 272 “bookcase and clock” is displayed. The original image 271 is an image of “bookcase and clock”. The dummy image 273 is an image unrelated to “bookcase and clock”.

  When the client 300 selects the original image 271, the determination unit 211 determines that the access is from a human.

  Although it is difficult to recognize the character “shelf” from the short image 274, humans can recognize it as “shelf” from the information of the entire image. For this reason, when a human is using the client 300, the client 300 can select the original image 271.

  On the other hand, it is difficult for a bot operating on the client 300 to recognize the characters “shelf”.

  Note that natural images (photos) or illustrations are used for the original image 271 and the dummy image 273. When illustrations are used, it is desirable to use natural objects such as animals or plants in which human beings retain a memory color. It is not very appropriate to use an image whose object is unclear, such as an abstract image, for the original image 271 and the dummy image 273.

(2) Client The client 300 includes an input unit 310, a display unit 320, a communication unit 330, and a control unit 340.
The input unit 310 receives various instructions from the user of the client 300. The various instructions include, for example, a service request transmission instruction for receiving a service such as a Web service from the server 200.

  The display unit 320 displays an image or the like on the display device 13 such as a liquid crystal display device of the client 300.

  The communication unit 330 is an interface unit for performing communication with the server 200.

  The control unit 340 performs various controls of the client 300 including the input unit 310, the display unit 320, and the communication unit 330.

<Operation sequence>
Next, the operation of the authentication system 100 of this embodiment will be described with reference to FIG. FIG. 5 is a flowchart for explaining the operation of the authentication system 100 according to the first embodiment.

  In step S <b> 501, the client 300 transmits an authentication request to the server 200.

  In step S <b> 502, the image acquisition unit 221 of the server 200 acquires an original image 271, a short sentence 272 corresponding to the original image 271, and a dummy image 273 from the database 270.

  In step S503, the short sentence processing unit 222 of the server 200 performs a character transformation process on the short sentence 272 explaining the content of the image to generate a short sentence image 274. Processing is performed so as to reduce the readability of the short sentence 272 by a character transformation process.

  In step S508, the authentication image presentation unit 230 of the server 200 presents the question text including the short text 274, the original image 271 corresponding to the short text 272, and the dummy image 273 on the same screen of the client 300. Instruct. That is, the authentication image presenting unit 230 of the server 200 transmits an instruction including these pieces of information to the client 300 using the communication unit 240.

  In step S509, the display unit 320 of the client 300 displays the question message including the short image 274, the original image 271 and the dummy image 273 received from the server 200.

  In step S510, the input unit 310 of the client 300 accepts selection of an image from the user, and the communication unit 330 notifies the server 200 of the selection result.

  In step S511, the determination unit 211 of the server 200 determines whether the result of image selection is correct. The determination unit 211 of the server 200 determines that the answer is correct when the original image 271 is selected.

  If the answer is correct, the process proceeds to step S512 (Yes in step S511). If not, the process returns to step S508 (No in step S511).

  If the image selection result is correct, the authentication unit 210 of the server 200 transmits information necessary for displaying the user authentication screen on the client 300 via the communication unit 240 in step S512.

  In step S513, the display unit 320 of the client 300 displays a user authentication screen, and the input unit 310 receives input of information necessary for authentication from the user. Here, the information necessary for authentication is, for example, a user ID and a password.

  In step S514, the communication unit 240 of the server 200 receives information necessary for user authentication from the client 300, and the user authentication unit 212 performs authentication processing using the information necessary for authentication received from the user.

  If the user authentication is successful, that is, if the information necessary for user authentication received from the client 300 is legitimate information (Yes in step S514), the processing is completed successfully and the user provides the server 200 using the client 300. Can receive service.

  If the user authentication is not successful (step S514 No), the process returns to step S512.

  In the present embodiment, by generating a short sentence image 274 indicating the contents of the short sentence 272, the contents of the short sentence 272 with reduced readability are presented to the user, and when the correct image is selected, the user of the client 300 is Determine.

  Since characters that cannot be recognized by a bot operating on the client 300 are difficult for humans to recognize, the conventional method of allowing the user to input the short text 272 cannot significantly reduce the readability of the short text 272.

  In this embodiment, since the user selects a corresponding image instead of inputting the short sentence 272, the user can recognize the corresponding image even if the readability of the short sentence 272 is greatly reduced.

  Therefore, according to the present embodiment, authentication can be performed by an operation that does not require input of the short text 272. In addition, since the readability of the short text 272 can be greatly reduced, unauthorized registration and access by a bot operating on the client 300 can be suppressed.

  In FIG. 6, it is described that the user authentication is performed after first determining whether the client 300 is operated by the user, but the embodiment is not limited thereto. In the present embodiment, for example, after the user authentication process from step S512 to step S514 is executed, the determination process from step S502 to step S511 may be executed. Only the processing from step S502 to step S511 may be performed without performing the user authentication processing.

<Modified example of short sentence>
A processing example of the modification of the short sentence 272 will be described with reference to FIGS.

  FIG. 6 is a diagram illustrating an example of an image presented to the user in a conventional anti-robot test.

  The short text 272 shown in FIG. 6 has been processed to reduce readability, but can be determined as “NkpGJN” by humans. A conventional bot operating on the client 300 could not be identified as “NkpGJN”, but the risk of being identified by the bot operating on the client 300 is increasing due to advances in OCR technology.

  For this reason, the process which further reduces the readability of a short sentence is needed so that a human being can distinguish.

  For example, as shown in FIG. 7, it is conceivable that characters are represented by dots to reduce readability. However, it is difficult for humans to distinguish the characters in FIG.

  For this reason, in the present embodiment, as shown in FIG. 8, a significant short sentence image 274 is used while characters are represented by dots and the readability is lowered.

  Although it is difficult for the bot operating on the client 300 to determine the short image 274 in FIG. 8, a human can determine the short image 274 in FIG.

  Furthermore, when selecting the relationship between the short text image 274 and the original image 271, a human can consider the original image 271, which is a selection candidate, the dummy image 273, and the short text image 274 in comparison. .

  For this reason, it becomes possible to further reduce the readability of the short text image 274.

  In order to make it difficult for a bot operating on the client 300 to determine the short text image 274, the short text processing unit 222 may erase a part of the characters.

  For example, as shown in FIGS. 9 and 10, for the short sentence 272 “seaside landscape”, the character deformation process is not performed as shown in FIG. After that, a part of the characters may be erased.

  Since humans can complement short sentences 272 and recognize short sentences 272, humans can discriminate short sentences 272 even if a part of short sentence image 274 is deleted. However, it is difficult for a bot operating on the client 300 to determine the short text 272 from the short text image 274 partially erased.

  Note that when erasing kanji, hiragana, or katakana with a small number of strokes, it may be difficult for humans to identify the short sentence 272, so it is desirable to erase part of it.

  In the present embodiment, the short sentence 272 stored in the database 270 is transformed by the short sentence processing unit 222 to generate a short sentence image 274. However, the short sentence that has been subjected to the transformation process in the database 270 in advance has been described. An image 274 may be stored. In this case, the short text 272, the short text image 274, and the original image 271 are stored in association with each other.

[Second Embodiment]
Next, a second embodiment will be described. Description of parts common to the first embodiment will be omitted, and different parts will be described.

  The image presented by the authentication image presenting unit 230 to the client 300 will be described with reference to FIG.

  In the first embodiment, the authentication image presentation unit 230 presents a question sentence including one short text image 274, and includes one original image 271 corresponding to the short text image 274 and one dummy image 273. Select an image from the list.

  In the present embodiment, as shown in FIG. 11, a question sentence including two short sentence images 274 is presented, and two original images 271 corresponding to the two short sentence images 274 and eight dummy images 273 are selected. Select an image.

  When one image is selected from 10 images, the probability that the bot operating on the client 300 will select the original image 271 is 1/10. When two images are selected from the ten images, the probability that the bot operating on the client 300 selects the original image 271 is 1/45 (= 1 / (10 × 9/2)).

  By selecting a plurality of images, the possibility that the original image 271 is selected by the bot operating on the client 300 can be reduced.

  For example, the authentication image presentation unit 230 may cause the client 300 to display the original image 271 and the dummy image 273 so as to form a 2 × 4 rectangular matrix.

  The server 200 can arbitrarily set the number of original images 271 and the number of dummy images 273. For example, the authentication image presentation unit 230 may cause the client 300 to display the original image 271 and the dummy image 273 in a rectangular matrix of N × M (N and M are natural numbers).

  By displaying in a rectangular matrix, the user's viewability can be improved.

  In addition, the authentication image presentation unit 230 may randomly change the position on the rectangular matrix where the original image 271 and the dummy image 273 are displayed on the client 300 each time an authentication request is received.

  Thereby, the possibility that the original image 271 is selected by the bot operating on the client 300 can be reduced.

  The anti-robot test may be performed multiple times. For example, when the anti-robot test including one original image 271 and nine dummy images 273 is performed twice, the probability that the original image 271 is selected twice is 1/100 (= 1/10 × 1). / 10).

  By performing the anti-robot test a plurality of times, the possibility that the original image 271 is selected by the bot operating on the client 300 can be reduced.

  Note that the original image 271, the short sentence image 274, and the dummy image 273 may be still images or moving images. When the short sentence image 274 is a moving image, the short sentence 272 or characters included in the short sentence 272 may be processed so as to be rotated, enlarged, reduced, or changed in color.

[Third Embodiment]
Next, a third embodiment will be described. Description of parts common to the first and second embodiments will be omitted, and different parts will be described.

  In the first embodiment and the second embodiment, an example in which the short sentence processing unit 222 performs a character transformation process on the short sentence 272 and generates a short sentence image 274 has been described. In the present embodiment, in addition to the process of deforming the short sentence 272, the short sentence processing unit 222 may generate the short sentence image 274 by adding the image 275 related to the short sentence 272. In the database 270, related images 275 are stored in the database 270.

  FIG. 12 is a diagram illustrating an example of a short sentence 272 and a short sentence image 274 according to the third embodiment.

  For example, when the short sentence 272 is “Which is the map of America?”, The short sentence processing unit 222 acquires the image 275 related to “USA” from the database 270. The short sentence processing unit 222 performs a character transformation process on “which map is” other than “America”.

  The short sentence processing unit 222 forms a short sentence image 274 from the extracted related image 275 and the character map that has undergone the character transformation process.

  Using the image 275 associated with the short text image 274 makes it more difficult for a bot operating on the client 300 to decipher the short text image 274.

  In the above-described embodiment, the short text 272 and the original image 271 are described in a one-to-one manner. However, the database 270 may associate one short text 272 with a plurality of original images 271.

  FIG. 13 is a diagram illustrating an example of a correspondence relationship between the short sentence 272 and the original image 271 according to the third embodiment.

  In this example, the short sentence 272 is “Please select a ball?”, And the original image 271 is associated with “soccer ball”, “rugby ball”, “tennis ball”, and the like.

  The image acquisition unit 221 acquires one or more original images 271 corresponding to the short sentences 272 and uses them for the anti-robot test.

  When N (N is 2 or more) original images 271 are acquired by the image acquisition unit 221, the authentication image presentation unit 230 selects the N original images 271 for the client 300. You may ask for it.

<Others>
In the embodiment described above, the short sentence 272 may be a sentence, one or more words, or a combination of characters and symbols.

  In the embodiment described above, the image acquisition unit 221 may acquire the dummy image 273 from the database 270, or acquire an original image 271 that is not related to the acquired short sentence 272 for the dummy image 273 from the database 270. May be.

  A storage medium storing software program codes for realizing the functions of the above-described embodiments may be supplied to the client 300 and the server 200. Needless to say, the client 300, the server 200 (or CPU or MPU) reads and executes the program code stored in the storage medium to achieve the above-described embodiment. In this case, the program code itself read from the storage medium realizes the functions of the above-described embodiment, and the storage medium storing the program code constitutes any of the embodiments. Here, the storage medium is a recording medium or a non-transitory storage medium.

  The functions of the above-described embodiments are not only realized by executing the program code read by the computer device. An operating system (OS) or the like operating on the computer device may perform part or all of the actual processing in accordance with the instruction of the program code. Furthermore, it goes without saying that the functions of the above-described embodiments may be realized by the processing.

  As mentioned above, although preferable embodiment of this invention was described, this invention is not limited to such embodiment, A various deformation | transformation and substitution can be added in the range which does not deviate from the summary of this invention.

100 Authentication System 200 Server 210 Authentication Unit 220 Authentication Image Generation Unit 230 Authentication Image Presentation Unit 270 Database 300 Client

Patent No. 5555211

Claims (9)

A storage unit that associates and stores a first image and a second image that includes a character string that describes the first image;
A presentation unit for presenting the second image, the first image, and a third image not associated with the character string to the terminal in response to receiving a processing request from the terminal; ,
A receiving unit that receives, from the terminal, a selection of an image associated with the second image from the first image and the third image;
An information processing apparatus comprising: an execution unit that executes the process when the first image is selected.   The information processing apparatus according to claim 1, wherein a character included in the character string is deformed.   The information processing apparatus according to claim 2, wherein a part of the character string is erased. The presenting unit presents a plurality of the second images, a plurality of the first images, and a plurality of the third images to the terminal,
The accepting unit accepts selection of an image associated with each of the plurality of second images from the terminal;
The information processing apparatus according to claim 1, wherein the execution unit executes the process when a plurality of the first images are selected. The presenting unit presents the second image, the first image, and the third image to the terminal a predetermined number of times,
The reception unit receives a selection of an image associated with the second image from the terminal a predetermined number of times from the first image and the third image,
The information processing apparatus according to claim 1, wherein the execution unit executes the process when the first image is selected the predetermined number of times.   The information processing apparatus according to claim 1, wherein the first image and the third image are natural images or illustrations.   The information processing apparatus according to claim 1, wherein the first image, the second image, or the third image is a moving image. The storage unit stores a plurality of the first images and the second images in association with each other,
The information processing apparatus according to claim 1, wherein the presentation unit selects one or more first images from a plurality of the first images and presents the selected images to the terminal. A computer program to be executed by an information processing apparatus,
In the information processing apparatus,
Storing the first image and a second image including a character string describing the first image in association with each other;
Presenting the second image, the first image, and a third image not associated with the character string to the terminal in response to receiving a processing request from the terminal;
Receiving from the terminal a selection of an image associated with the second image from the first image and the third image;
A computer program for executing the processing when the first image is selected.