JP2015176242A - Character recognition device, divider and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a character recognition device which allows an operator to perform adjustment of character recognition according to the skill of the operator himself/herself, a divider and a program.SOLUTION: A character recognition device in an embodiment has: a character recognition unit; a recognition adjustment unit; an adjustment history storage unit; and an adjustment history management unit. The character recognition unit recognizes characters included in an image. The recognition adjustment unit acquires a value inputted by an operator in one parameter out of a plurality of parameters used when the character recognition unit recognizes the characters, and sets the inputted value to the character recognition unit. The adjustment history management unit, when the inputted value is set in the character recognition unit, updates information showing skill stored by the adjustment history storage unit by associating it with the information showing the parameter of the inputted value.

Description

  Embodiments described herein relate generally to a character recognition device, a sorting machine, and a program.

  In the automatic delivery processing apparatus, the address described in the address of the delivery is character-recognized and classified according to the recognized address. In such a device that performs character recognition, adjusting and optimizing various parameters used for character recognition is important for improving the recognition rate. However, if the operator is not familiar with the adjustment, or the operator's character recognition algorithm is not fully understood, such as when the level of proficiency is insufficient, some parameters may be recognized even after adjustment. In some cases, the rate did not improve.

JP 2007-253021 A

  The problem to be solved by the present invention is to provide a character recognition device, a sorting machine, and a program that allow an operator to adjust character recognition according to the skill level of the operator.

  The character recognition device according to the embodiment includes an image acquisition unit, a character recognition unit, a recognition adjustment unit, an adjustment history storage unit, and an adjustment history management unit. The image acquisition unit acquires an image. The character recognition unit recognizes characters included in the image. The recognition adjustment unit acquires a value input by an operator of any one of a plurality of parameters used when the character recognition unit recognizes a character, and the input value is used as the character recognition unit. Set to. The adjustment history storage unit stores information indicating any one of the plurality of parameters in association with information indicating a proficiency level related to parameter setting by the operator. The adjustment history management unit, when the input value is set in the character recognition unit, information indicating the proficiency stored in the adjustment history storage unit in association with information indicating the parameter of the input value, Update.

The block diagram which shows the outline of the whole structure of the sorting machine for delivery of embodiment. The schematic block diagram which shows the structure of the character recognition apparatus 50 of embodiment. The table which shows the example of the memory content of the adjustment history memory | storage part 511 of embodiment. The figure which shows the example D1 of the list screen which the recognition adjustment part 507 of embodiment displays. The figure which shows the example D2 of the parameter value input screen of embodiment. The figure which shows the example D3 of the parameter value input screen of embodiment. The figure which shows the example D4 of the parameter value input screen of embodiment. The figure which shows modification D1a of the list screen of embodiment. The figure which shows modification D1b of the list screen of embodiment. The schematic block diagram which shows the structure of the division | segmentation processing system 100a of embodiment.

  Hereinafter, a character recognition device, a sorting machine, and a program according to embodiments will be described with reference to the drawings.

  FIG. 1 is a block diagram showing an outline of the overall configuration of a sorting machine for delivery items according to the embodiment. The delivery item may be any postal item such as a postcard or sealed letter handled by the post office, a parcel, an e-mail service handled by a private logistics company, or a parcel delivery. The sorter 100 includes a supply unit 10, a scanner unit 20, a transport unit 30, a sorting unit 40, a character recognition device 50, a video coding unit 60, and a control unit 70. The supply unit 10 supplies the delivery items D one by one to the scanner unit 20. The scanner unit 20 captures the supplied delivery item D using a scanner, and transmits the captured image to the character recognition device 50. The transport unit 30 transports the delivery D photographed by the scanner unit 20 to the sorting box of the sorting designated by the control unit 70 in the sorting unit 40. The sorting unit 40 is a sorting box for each sorting according to the delivery destination of the delivery item D.

  The character recognition device 50 performs character recognition on the image input from the scanner unit 20 and inputs a character code string representing the recognized character string to the control unit 70 as a destination address. When character recognition fails (reject), the character recognition device 50 inputs the image input from the scanner unit 20 to the video coding unit 60. The video coding unit 60 displays an image input from the character recognition device 50, that is, a photographed image of the delivery item D. When an operator of the video coding unit 60 reads a destination address from the displayed captured image and inputs it to the video coding unit 60, the video coding unit 60 inputs the input destination address to the control unit 70. The control unit 70 determines the category of the delivery from the address of the destination input from the character recognition device 50 or the video coding unit 60. The control unit 70 designates the classification of the determination result as the classification of the delivery item D to the control unit 70.

  Note that the video coding unit 60 may allow the operator to input additional information such as a rejection cause as well as correct teaching while referring to the result of character recognition. For this purpose, the character recognition device 50 may also input information such as an intermediate result of character recognition to the video coding unit 60. Further, the video coding unit 60 may input additional information to the character recognition device 50.

  As the additional information, for example, the type of cause of character recognition failure (reject) regarding the currently displayed image can be considered. For example, if the part where “Tanaka-cho” is written in the result of recognition is erroneously confirmed as “Nichicho-cho”, the operator can recognize “character recognition” as the cause of recognition failure. It is possible to input information such as misrecognizing "field" as "day". In addition, the type of recognition failure cause may be determined by the character recognition device 50 based on a correct answer teaching result by the operator.

  FIG. 2 is a schematic block diagram showing the configuration of the character recognition device 50. The character recognition device 50 includes an image acquisition unit 501, an image storage unit 502, a recognition dictionary storage unit 503, a character recognition unit 504, a character output unit 505, an image output unit 506, a recognition adjustment unit 507, a display unit 508, and an operator input unit 509. , An adjustment history management unit 510, an adjustment history storage unit 511, and a result log storage unit 512. The image acquisition unit 501 acquires a captured image input from the scanner unit 20. The image storage unit 502 stores the captured image acquired by the image acquisition unit 501. The image storage unit 502 may store only captured images acquired by the image acquisition unit 501 that satisfy a predetermined condition, such as images that have failed in character recognition.

  The recognition dictionary storage unit 503 stores a dictionary composed of character code strings constituting words. This dictionary is used when character recognition is performed. The character recognition unit 504 performs character recognition on the captured image acquired by the image acquisition unit 501 and inputs a character code string representing the recognized character string to the character output unit 505. The character recognition unit 504 inputs the captured image to the image output unit 506 when character recognition for the captured image acquired by the image acquisition unit 501 fails. Further, the character recognition unit 504 causes the result log storage unit 512 to store a result log indicating whether or not the character recognition for each captured image acquired by the image acquisition unit 501 has succeeded. Note that the character recognition unit 504 stores parameter values set by the recognition adjustment unit 507 when performing character recognition. In addition, when instructed by the recognition adjustment unit 507, the recognition adjustment unit 507 reads an image from the image storage unit 502 and performs character recognition. The recognition adjustment unit 507 does not input the character recognition result at this time to the character output unit 505.

  The character output unit 505 inputs the character code string input from the character recognition unit 504 to the control unit 70 as a destination address. The image output unit 506 inputs the input image to the video coding unit 60. The recognition adjustment unit 507 performs user authentication of the operator using, for example, an ID, a password, and the like. A list of parameters that can be set in the character recognition unit 504 and a list indicating their recommended order for the user who has performed user authentication. The screen is displayed on the display unit 508. When the recognition adjustment unit 507 displays the list screen, the recognition adjustment unit 507 represents the proficiency level of each parameter associated with the operator ID indicating the user authenticated operator among the information stored in the adjustment history storage unit 511. Browse information.

  When the operator uses the operator input unit 509 to select a parameter to be set and specify its value, the recognition adjustment unit 507 changes the recognition rate before and after applying the value. Is generated and displayed on the display unit 508. When the operator who has viewed the information indicating the change in the recognition rate displayed on the display unit 508 uses the operator input unit 509 to instruct the application of the value, the recognition adjustment unit 507 sends the value to the character recognition unit 504. Set. Information indicating the change in the recognition rate is calculated from the result of character recognition performed on the image stored in the image storage unit 502. A method for calculating information representing the change in the recognition rate will be described later.

  The display unit 508 includes a display device such as a liquid crystal display or an organic EL display, and displays images and characters according to instructions from the recognition adjustment unit 507. The operator input unit 509 includes input devices such as a mouse, a keyboard, and a touch panel, and detects an operator's input operation. When the recognition adjusting unit 507 sets parameters in the character recognizing unit 504, the adjustment history managing unit 510 is information indicating the proficiency level associated with the operator ID of the operator who performed the setting and information indicating the parameters. And update.

  The adjustment history storage unit 511 stores an operator ID of an operator, information indicating a parameter for character recognition, and information indicating a proficiency level in association with each other. The information indicating the proficiency level is information indicating the proficiency level of the operator regarding the setting of the parameter, for example, information indicating the number of adjustments of the parameter (number of inputs) and the change in the recognition rate due to the adjustment. . The result log storage unit 512 stores a result log representing the processing result of the character recognition unit 504 for the captured image acquired by the image acquisition unit 501.

  FIG. 3 is a table showing an example of stored contents of the adjustment history storage unit 511. As illustrated in FIG. 3, the adjustment history storage unit 511 associates an operator ID of an operator, information indicating a character recognition parameter, the number of adjustments, the total number of improvements, the number of improvements, and the number of alterations. Remember. Among these, the cumulative improvement number, the improvement number, and the number of alterations are information representing recognition results. The number of adjustments is the number of times that the operator with the operator ID stored in association has adjusted the parameters stored in association with each other.

  The number of improvements is the number of images that have succeeded in character recognition after parameter adjustment among images that have failed character recognition before parameter adjustment. In the present embodiment, the adjustment history storage unit 511 stores the sum of the number of improvements at each time when the operator of the operator ID stored in association adjusts the parameters stored in association with each other. Conversely, the number of alterations is the number of images in which character recognition has failed after parameter adjustment, among images that have been successfully recognized before parameter adjustment. The cumulative number of improvements is a value obtained by subtracting the number of improvements from the number of improvements. In other words, the cumulative improvement number is a value obtained by subtracting the number of images that succeed in character recognition before parameter adjustment from the number of images that succeed in character recognition after parameter adjustment.

  In the example illustrated in FIG. 3, the adjustment history storage unit 511 includes an operator ID “123456”, a parameter “binarization threshold”, the number of adjustments “5”, a cumulative improvement number “5”, and an improvement number “7”. And the number of alterations “2” are stored in association with each other. Similarly, the adjustment history storage unit 511 includes an operator ID “123456”, a parameter “use candidate rank”, an adjustment count “0”, a cumulative improvement number “−” (meaning none), and an improvement number “−”. "And the number of alterations"-"are stored in association with each other. The adjustment history storage unit 511 receives the operator ID “135488”, the parameter “reading range”, the adjustment count “112”, the cumulative improvement count “23”, the improvement count “38”, and the alteration count “15”. It is stored in association.

  FIG. 4 is a diagram illustrating an example D1 of the list screen displayed by the recognition adjustment unit 507. The list screen D1 includes the operator ID “123456” of the user who has been authenticated, information indicating the proficiency level, and the recommended order of parameters for each parameter. As parameters, “1” “binarization threshold”, “2” “use candidate ranking”, and “3” “reading range” are shown. For example, if the parameter “1” is the parameter “binarization threshold”, the information indicating the proficiency level for each parameter is “past adjustment number: 5” and “adjusted recognition cumulative improvement number: 5 (improvement 7 2 cases / wastes) ”is displayed. Information indicating these proficiency levels is information read from the adjustment history storage unit 511.

  Also, the recommended order of parameters is the parameter “reading range” of “3” as the recommended order “1”, and the parameter “binarization threshold” of “1” as the recommended order “2”. Has been. The parameter “2”, “use candidate rank”, is not recommended because it has never been adjusted in the past. When the operator inputs the number of the parameter to be adjusted in the input area A1, the recognition adjustment unit 507 displays a parameter value input screen for inputting the value. The parameter value input screen will be described later. Note that the recognition adjustment unit 507 determines the recommended order as follows, for example.

  First, the recognition adjustment unit 507 selects the number of adjustments stored in the adjustment history storage unit 511 in association with the operator ID of the operator, that is equal to or greater than a predetermined threshold (for example, “5”). . The recognition adjustment unit 507 sets the order in which the value obtained by dividing the selected number of adjustments and the cumulative improvement number stored in association with the adjustment history storage unit 511 by the number of adjustments in descending order is the recommended order of the associated parameters. .

  In the case of the list screen D1, the “use candidate order” of “2” has no recommended order because the number of adjustments is not equal to or greater than the threshold value “5”. The “binary threshold” of “1” and the “reading range” of “3” having the number of adjustments equal to or greater than the threshold “5” are values obtained by dividing the cumulative improvement number by the number of adjustments, respectively. 1.0 ”,“ 1.06... ”, And“ 3 ”“ reading range ”is larger. Therefore, “No. 3” “reading range” is ranked first in the recommended ranking, and “No. 1” “binarization threshold” is ranked second in the recommended ranking.

  FIG. 5 is a diagram illustrating an example D2 of the parameter value input screen. The parameter value input screen D2 is an example of a screen that is displayed when the “binarization threshold” of “1” is input on the list screen D1 of FIG. On the parameter value input screen D2, the current value “128” of the parameter “binarization threshold” is displayed under the information indicating the proficiency level regarding the parameter “binarization threshold”. Furthermore, an input area A2 for inputting the value of the parameter “binarization threshold” is displayed below the input area A2. When the operator inputs a value in the input area A2, the recognition adjustment unit 507 generates information that indicates a change in the recognition rate and displays it.

  FIG. 6 is a diagram illustrating an example D3 of the parameter value input screen. The parameter value input screen D3 in FIG. 6 is an example when “63” is input as an adjustment value to the input area A2 in the parameter value input screen D2 in FIG. The recognition adjustment unit 507 causes the character recognition unit 504 to store the image group stored in the image storage unit 502 when the parameter “binarization threshold” is the current value “128” and the adjustment value “63”. Enable character recognition.

  The recognition adjustment unit 507 displays the number of images in the image group stored in the image storage unit 502 as “total number of images 156”. Further, the recognition adjustment unit 507 displays the number of failed images when the characters of the image group are recognized with the current value “128” as “number of NG before parameter change 28”. Similarly, the recognition adjustment unit 507 displays the number of failed images when the character is recognized with the adjustment value “63” as “number of NG cases after parameter change 20”. Note that the number of successes may be displayed instead of the number of failures. The recognition adjustment unit 507 displays “cumulative improvement number 8” indicating how much the number of images failed with the adjustment value “63” has decreased from the number of images failed with the current value “128”. Further, the recognition adjustment unit 507 may display how much the number of images that succeeded with the adjustment value “63” has increased from the number of images that succeeded with the current value “128”.

  At the end of the parameter value input screen D3, a character string A3 “YorN” that prompts the user to specify whether to determine the parameter “binarization threshold” as an adjustment value (“63” in this case) is displayed. When “Y” is selected here, the adjustment history management unit 510 causes the adjustment history storage unit 511 to adjust the number of adjustments associated with the operator ID of the operator and the parameter “binarization threshold”, and the total improvement Update the number, number of improvements, number of corruption.

  FIG. 7 is a diagram illustrating an example D4 of the parameter value input screen. The parameter value input screen D4 in FIG. 7 is a screen when “Y” is input in the parameter value input screen D3 in FIG. 6 and the adjustment history is updated. On the parameter value input screen D4, an area A4 for inputting designation of whether to continue or end the adjustment is displayed. When the continuation of adjustment is instructed, the process returns to the list screen D1, and when the end is instructed, an end screen is displayed.

  FIG. 8 is a diagram illustrating a modification D1a of the list screen. In the present embodiment, the recognition adjustment unit 507 displays the recommended order of parameters to be adjusted on the list screen D1, but selects and selects a parameter that satisfies a predetermined condition as a parameter whose value can be set. The operator may not be able to select a parameter that did not exist. The list screen D1a in FIG. 8 is an example in which parameters whose adjustment count is less than a predetermined threshold (here, “5”) cannot be selected. In the list screen D1a, the display relating to the “use candidate rank” of “2” is shaded, indicating that “2” cannot be input to the input area A1.

  FIG. 9 is a diagram showing a modification D1b of the list screen. In the present embodiment, the recognition adjustment unit 507 displays only the information on adjustment by the operator who has been authenticated by the user on the list screen, but may display information on other operators. The list screen D1b of FIG. 9 is an example in which the recognition adjustment unit 507 displays an overall average that is an average value of all operators of the cumulative improvement number in each parameter as information regarding other operators. As information about other operators, for example, the best value among all operators, the rank of user-authenticated operators among all operators, and the operator selected by the user-authenticated operator The recognition adjustment unit 507 may display information indicating the proficiency level.

  The character recognition device 50 may be connected to the scanner unit 20, the control unit 70, and the like via a network such as the Internet. Further, the scanner unit 20 and the control unit 70 may be connected. FIG. 10 is a schematic block diagram showing the configuration of such a sorting processing system 100a. The segment processing system 100a includes a plurality of segment processing units 200, a plurality of control units 70, a character recognition device 50, and a video coding unit 60. The sorting processing unit 200 includes a supply unit 10, a scanner unit 20, a transport unit 30, and a sorting unit 40. The character recognition device 50 is connected to a plurality of division processing units 200, a plurality of control units 70, and a video coding unit 60 via a network.

  Further, in the above-described embodiment, the number of images that have failed in character recognition or the number of images that have succeeded is used as information that represents a change in recognition rate or information that represents recognition results. A success rate may be used.

As described above, the adjustment history storage unit 511 stores information indicating any one of the plurality of parameters in association with information indicating the level of proficiency regarding the parameter setting by the operator. When the adjustment history management unit 510 sets the input value in the character recognition unit 504, the adjustment history storage unit 511 stores information indicating the proficiency level stored in association with the information indicating the parameter of the input value. Update.
Accordingly, the recognition adjustment unit 507 can generate an operation screen or the like when the operator inputs a parameter value, using the information indicating the proficiency level stored in the adjustment history storage unit 511. Therefore, the operator can adjust the character recognition according to the skill level of the operator.

  Furthermore, the recognition adjustment unit 507 performs user authentication for the operator. When the adjustment history management unit 510 updates the information indicating the proficiency level stored in the adjustment history storage unit 511, the adjustment history management unit 510 updates the information associated with the operator ID authenticated by the user authentication.

  As a result, the recognition adjustment unit 507 uses the information indicating the proficiency associated with the operator ID of the operator who is operating at that time, such as the operation screen when the operator inputs the parameter value, Can be generated. Therefore, the operator can adjust the character recognition according to the skill level of the operator.

Furthermore, when acquiring the parameter value, the recognition adjustment unit 507 presents information based on information stored in the adjustment history storage unit 511 in association with the operator ID authenticated by the user authentication.
Thereby, the recognition adjustment unit 507 can prompt the operator to set a parameter with a high level of proficiency, and the operator can adjust the character recognition according to the proficiency level of the operator himself.

Furthermore, the information presented by the recognition adjustment unit 507 includes either the number of adjustments for each of the plurality of parameters and information indicating a change in the recognition rate.
Thus, the operator can determine which parameter setting he / she is familiar with.

Furthermore, the recognition adjustment unit 507 determines the number of successes before application and the number of successes after application of the input value, the difference between the number of successes before application and the number of successes after application, the number of failures before application, and after application. And the difference between the number of failures before application and the number of failures after application.
Thus, the operator can determine which parameter setting he / she is familiar with.

The image storage unit 502 further stores an image acquired by the image acquisition unit 501. The image storage unit 502 stores the number of successes before application, the number of successes after application, the number of failures before application, and the number of failures after application. It is a result of character recognition with respect to the image to memorize | store.
Thereby, the change of the recognition rate with respect to the image which actually performs character recognition is computable.

Furthermore, the recognition adjustment unit 507 selects a parameter for which a value can be set with reference to information indicating a proficiency level regarding the parameter setting.
As a result, it is possible to prevent the operator from setting parameters that the operator is not familiar with.

Furthermore, the recognition adjustment unit 507 presents information based on information stored in the adjustment history storage unit 511 in association with the operator ID of another operator.
Thereby, the operator can grasp what his / her grade is relatively, and can select a more appropriate adjustment method and adjustment parameter. Moreover, the effect of raising motivation so as to leave a better adjustment result is also expected.

  According to at least one embodiment described above, an adjustment history storage that stores information indicating any one of a plurality of parameters related to character recognition and information indicating a proficiency level related to parameter setting by an operator in association with each other By having the unit 511, the operator can adjust the character recognition according to the proficiency level of the operator himself.

  In addition, a program for realizing the function of the character recognition device 50 in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed for character recognition. The device 50 may be realized. Here, the “computer system” includes an OS and hardware such as peripheral devices.

Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Furthermore, the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory in a computer system serving as a server or a client in that case, and a program that holds a program for a certain period of time are also included. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 10 ... Supply part, 20 ... Scanner part, 30 ... Conveyance part, 40 ... Sorting part, 50 ... Character recognition apparatus, 60 ... Video coding part, 70 ... Control part, 100 ... Sorting machine, 501 ... Image acquisition part, 502 ... Image storage unit 503 ... Recognition dictionary storage unit 504 ... Character recognition unit 505 ... Character output unit 506 ... Image output unit 507 ... Recognition adjustment unit 508 ... Display unit 509 ... Operator input unit 510 ... Adjustment history Management unit 511 ... Adjustment history storage unit

Claims (10)

An image acquisition unit for acquiring images;
A character recognition unit for recognizing characters included in the image;
Recognition adjustment for acquiring a value input by an operator of any one of a plurality of parameters used when the character recognition unit recognizes a character, and setting the input value in the character recognition unit And
An adjustment history storage unit that stores information indicating any one of the plurality of parameters and information indicating a proficiency level regarding parameter setting by the operator in association with each other;
When the input value is set in the character recognition unit, an adjustment history management unit that updates the information indicating the proficiency stored in the adjustment history storage unit in association with information indicating the parameter of the input value And a character recognition device. The recognition adjustment unit performs user authentication for the operator before acquiring the input value,
When the input history value is set in the character recognition unit, the adjustment history management unit is authenticated by user authentication by the recognition adjustment unit among the information indicating the proficiency level related to the parameter setting of the input value. Update the information associated with the information indicating the operator,
The character recognition device according to claim 1.   The recognition adjustment unit, when acquiring the input value, information based on information stored in the adjustment history storage unit in association with information indicating an operator authenticated by user authentication by the recognition adjustment unit The character recognition device according to claim 2, wherein:   The information presented by the recognition adjustment unit has been authenticated by the number of input values for each of the plurality of parameters by the operator authenticated by the user authentication by the recognition adjustment unit and the user authentication by the recognition adjustment unit. The character recognition device according to claim 3, wherein the character recognition device includes any one of information indicating a change in a recognition rate when an operator inputs a value for each of the plurality of parameters.   The information indicating the change in the recognition rate when a value for each of the plurality of parameters is input by an operator authenticated by user authentication by the recognition adjustment unit is a predetermined image before the input value is applied. Success number before application, which is the number of images successfully recognized in the group, and success after application, which is the number of images successfully recognized in the predetermined image group after applying the input value The number of successes before application and the number of successes before application and the number of successes after application, and the number of unsuccessful pre-application images in the predetermined image group before applying the input value. And the number of failures after application that is the number of images that failed to recognize characters in the predetermined image group after applying the input value, and the difference between the number of failures before application and the number of failures after application One of No, the character recognition apparatus according to claim 4. An image storage unit for storing the image acquired by the image acquisition unit;
The predetermined image group includes images acquired by the image acquisition unit stored in the image storage unit.
The character recognition device according to claim 5.   The recognition adjustment unit refers to information indicating a proficiency level related to the parameter setting stored in the adjustment history storage unit in association with information indicating an operator authenticated by user authentication by the recognition adjustment unit. The character recognition device according to claim 2, wherein a parameter whose value can be set is selected.   The recognition adjustment unit, when acquiring the input value, information based on information stored in the adjustment history storage unit in association with information indicating an operator authenticated by user authentication by the recognition adjustment unit The character recognition according to claim 3, wherein information based on information stored in the adjustment history storage unit in association with an operator other than the operator authenticated by user authentication by the recognition adjustment unit is presented. apparatus. An image acquisition unit for acquiring images of deliverables;
A character recognition unit for recognizing characters included in the image;
Recognition adjustment for acquiring a value input by an operator of any one of a plurality of parameters used when the character recognition unit recognizes a character, and setting the input value in the character recognition unit And
An adjustment history storage unit that stores information indicating any one of the plurality of parameters and information indicating a proficiency level regarding parameter setting by the operator in association with each other;
When the input value is set in the character recognition unit, an adjustment history management unit that updates the information indicating the proficiency stored in the adjustment history storage unit in association with information indicating the parameter of the input value When,
A control unit that determines a classification of the delivery destination with reference to characters recognized by the character recognition unit;
A sorting machine comprising: a transport unit that transports the delivery product in advance according to the sorting determined by the control unit. Computer
An image acquisition unit for acquiring images;
A character recognition unit for recognizing characters included in the image;
Recognition adjustment for acquiring a value input by an operator of any one of a plurality of parameters used when the character recognition unit recognizes a character, and setting the input value in the character recognition unit Part,
An adjustment history storage unit that stores information indicating any one of the plurality of parameters and information indicating a proficiency level related to parameter setting by the operator in association with each other;
When the input value is set in the character recognition unit, an adjustment history management unit that updates the information indicating the proficiency stored in the adjustment history storage unit in association with information indicating the parameter of the input value Program to function as.

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