WO2022112857A1

WO2022112857A1 - Method and apparatus for correcting order information, and device and storage medium

Info

Publication number: WO2022112857A1
Application number: PCT/IB2021/055848
Authority: WO
Inventors: 张斌; 彭佳玮; 陈凯歌
Original assignee: 商汤国际私人有限公司
Priority date: 2020-11-25
Filing date: 2021-06-30
Publication date: 2022-06-02
Also published as: CN112395874A

Abstract

A method for correcting order information. The method comprises: acquiring, according to a text recognition result of an order, order information to be corrected; determining target search information from the text recognition result; acquiring order reference information matching the target search information; and correcting the order information to be corrected by using the order reference information, so as to obtain target order information.

Description

CROSS REFERENCE TO RELATED APPLICATIONS Priority of the Chinese Patent Application for "Storage Media", the entire contents of which are incorporated herein by reference. technical field

[01] The present disclosure relates to computer vision technology, and in particular, to a method, apparatus, device, and storage medium for correcting order information. Background technique

[02] At present, OCR (Optical Character Recognition, Optical Character Recognition) technology has been widely used in many fields and industries, and most of the text words in text data images can be recognized through this technology. However, due to the accuracy of the OCR results, the information extracted from the OCR results may be wrong. SUMMARY OF THE INVENTION

[03] An embodiment of the present disclosure provides a correction solution for order information.

[04] According to a first aspect of the embodiments of the present disclosure, a method for correcting order information is provided, the method comprising: obtaining order information to be corrected according to a text recognition result of the order; determining target search information from the text recognition result ; Acquiring order reference information matching the target search information; and correcting the order information to be corrected by using the order reference information to obtain target order information.

[05] According to the second aspect of the embodiments of the present disclosure, an apparatus for correcting order information is provided, the apparatus includes: an acquiring unit, configured to acquire order information to be corrected according to a text recognition result of the order; a determining unit, using for determining target search information from the text recognition result; a matching unit for acquiring order reference information matching the target search information; a correcting unit for correcting the to-be-corrected order information by using the order reference information, to get the target order information.

[06] According to a third aspect of the embodiments of the present disclosure, there is provided an electronic device, the device includes a memory and a processor, where the memory is used for storing computer instructions that can be executed on the processor, and the processor is used for The method for correcting order information described in the first aspect is implemented when the computer instructions are executed.

[07] According to a fourth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for correcting order information described in the first aspect is implemented.

[08] According to a fifth aspect of the embodiments of the present disclosure, a computer program is provided, including computer-readable codes, and when the computer-readable codes are executed in an electronic device, a processor in the electronic device executes When implementing the correction method for order information described in the first aspect.

[09] In one or more embodiments of the present disclosure, the order information correction method, device, device, and storage medium obtain order information to be corrected according to the text recognition result of the order, and determine target search information from the text recognition result, Acquiring order reference information matching the target search information, and using the order reference information to correct the order information to be corrected to obtain target order information, can quickly obtain accurate target order information from the text recognition result of the order.

[10] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. Description of drawings

[11] The accompanying drawings, which are incorporated into and constitute a part of this specification, illustrate embodiments consistent with this specification, and together with the description, serve to explain the principles of this specification.

[12] FIG. 1 is a flowchart of a method for correcting order information provided by at least one embodiment of the present disclosure;

[13] FIG. 2 is a schematic structural diagram of a setting database in a method for correcting order information proposed by at least one embodiment of the present disclosure;

[14] Figures 3A, 3B, and 3C are schematic diagrams of an information extraction method proposed by at least one embodiment of the present disclosure;

[15] FIG. 4 is a schematic diagram of a device for correcting order information proposed by at least one embodiment of the present disclosure;

[16] FIG. 5 is a schematic structural diagram of an electronic device proposed by at least one embodiment of the present disclosure. Detailed ways

[17] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments are not intended to represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as recited in the appended claims.

[18] FIG. 1 shows a flowchart of a method for correcting order information according to some embodiments of the present disclosure. As shown in FIG. 1 , the method includes steps 101 to 104.

[19] In step 101, the order information to be corrected is obtained according to the text recognition result of the order.

[20] In the embodiment of the present disclosure, the order for text recognition includes at least one of the following: an order image, an order in the form of an electronic document, such as a pdf document. Those skilled in the art should understand that the order may also include other types suitable for text recognition.

[21] In an example, the text box contained in the order can be obtained by performing text detection on the order; and the text in the text box can be recognized by performing text recognition on the obtained text box, so that Obtain a text recognition result; and directly perform text recognition on the order to be processed, such as OCR, to obtain a text recognition result containing a text box in the order. The embodiments of the present disclosure do not limit the specific method for obtaining the text recognition result.

[22] The order information to be corrected is the order information to be corrected obtained from the text recognition result of the order according to the set rule. For example, in the case that the order information to be corrected includes address information, the address information to be corrected can be obtained from the text recognition result according to the rules of the address information.

[23] In step 102, target search information is determined from the text recognition result. The target search information is information that is related to the order information to be corrected or can reflect the characteristics of the order information to be corrected. [24] In an example, the target search information includes a subject name of the order information to be corrected, and at least one of at least one content element. Taking address information as an example, the target search information may include the name of the subject to which the address information belongs (eg, name, place name, etc.) and/or at least one content element included in the address information (eg, administrative regions at all levels, the zip code corresponding to the row area, etc.).

[25] In step 103, obtain order reference information matching the target search information.

[26] In this embodiment of the present disclosure, order reference information matching the target search information may be acquired from the setting database. Wherein, the setting database stores a plurality of reference subject names and corresponding reference information. For example, in the case where the target search information includes address information, the setting database is a database that stores a plurality of subject names and corresponding address information, according to the subject name corresponding to the order information to be corrected, such as "XX Hotel/ Hotel", and zip code, that is, the matching "XX Hotel/Hotel" can be searched in the setting database, and the corresponding address information can be used as the order reference information.

[27] In the embodiment of the present disclosure, the order reference information matching the target search information can also be obtained through the Internet. Still taking the address information as an example, a search engine can be used to search the Internet according to the subject name and zip code corresponding to the order information to be corrected, and the retrieved information corresponding to the matching subject name can be used as the order reference information.

[28] In the embodiment of the present disclosure, the order reference information matching the target search information can also be obtained from the setting database and the Internet at the same time. In the case that the order reference information is obtained from both the setting database and the Internet, any one of them, or a designated one can be used as the target order reference information; in the case that only the order reference information is obtained from the Internet, the Internet can be used The search results update the settings database.

[29] In step 104, the order information to be corrected is corrected using the order reference information to obtain target order information.

[30] In the embodiment of the present disclosure, the method, device, device and storage medium for correcting order information proposed by at least one embodiment of the present disclosure obtain order information to be corrected according to the text recognition result of the order, and obtain the order information to be corrected from the text recognition result. Determine the target search information in the middle, obtain the order reference information matching the target search information, and use the order reference information to correct the order information to be corrected to obtain the target order information, which can be quickly obtained from the text recognition result of the order. Accurate target order information.

[31] The address database in the related art usually only supports the query from the subject name to the address, and only has certain error tolerance at the beginning and end of the input word. Because the method for correcting order information proposed by the embodiments of the present disclosure is to obtain matching order reference information according to the target search information determined from the text recognition result, and the target search information may be the subject name and/or the subject name in the order information to be corrected. Or at least one content element in the order information to be corrected, so even if there is erroneous information in the order information, such as even a wrong subject name, other information in the order information can be used as the target search information through this correction method, Correcting the order information to be corrected by obtaining the order reference information has high fault tolerance.

[32] In addition, since the acquisition of target search information has nothing to do with the text arrangement of the order, the method for correcting order information proposed by at least one embodiment of the present disclosure is applicable to orders of different layouts.

[33] In some embodiments, from the text recognition result of the order, the subject name corresponding to the order information to be corrected may be obtained as the target search information. The subject name and the order information to be corrected are, for example, key-value pair information, wherein the subject name indicates an attribute, and the order information to be corrected indicates a value of the attribute. [34] In an example, the order information to be corrected may be address information, the subject corresponding to the address information is the object to which the address information belongs, and the corresponding subject name is the name of the object to which it belongs. For example, when the object to which the address information belongs is an individual, the corresponding subject name is a name; when the object to which the address information belongs is a place, the corresponding subject name is the place name. The order information to be corrected may also be identity information, and the subject name corresponding to the identity information is a name. Those skilled in the art should understand that the order information to be corrected may also be other types of information, which is not limited in the present disclosure.

[35] In some embodiments, the setting database may include reference unit information of a plurality of levels, and the reference unit information of each lowest level of the plurality of levels corresponds to a plurality of reference subject names. In the setting database, the reference unit information is organized and stored according to the hierarchical level from top to bottom, and the lower the level of the reference unit information corresponds to the smaller the scope or the lower the authority. Among them, the minimum employment level is the corresponding reference information unit with the smallest scope or the lowest authority. Taking the setting database for storing address information as an example, the reference unit information of multiple levels included in the setting database includes reference administrative area information and/or postal code information, and the reference unit information of the lowest level includes the administrative area with the smallest scope. Name and/or zip code for this borough.

[36] In an example, the reference unit information in the setting database may be stored in a tree structure, the non-leaf nodes of different levels store the reference unit information of different levels, and the leaf nodes are used to store the information belonging to the upper level node. Reference principal name.

[37] In some embodiments, the setting database further stores first reference information corresponding to each reference subject name. The first reference information is usually complete information corresponding to the reference subject name, including reference unit information at various levels and specific reference information corresponding to the reference subject name. Taking address information as an example, the first reference information may be complete address information, including administrative area information at various levels and specific addresses corresponding to the names of reference entities, such as streets and/or units. The first reference information is obtained in advance, and is the reference information corresponding to the name of the reference subject with higher reliability and accuracy.

[38] Taking the order information to be corrected as address information in a hotel order as an example, the reference unit information of multiple levels in the setting database may be administrative regions of multiple levels. The tree structure for storing address information can be a rooted tree structure, and the root node has no actual meaning; the child nodes of the root can be used to store the travel salesman of the order (for example, XX travel agency), and the rest of the non-leaf nodes can be used to store The administrative region composition or postal code of the country; each leaf node can store an object name, and each leaf node can also store the complete address information corresponding to the object name. In the subtree corresponding to the same traveling salesman, all non-leaf nodes are unique, and the parent node of the non-leaf node represents its own higher-level administrative district.

[39] FIG. 2 is a schematic structural diagram of a setting database in a method for correcting order information proposed by at least one embodiment of the present disclosure. As shown in Figure 2, the subtree of the traveling salesman can be constructed according to the top-to-bottom (from shallow to deep) hierarchy: country-province-city-district, in some cases, the next level of district may also include subdistricts , and each administrative region can also be replaced by a postal code, for example, it is constructed as country-province-postal code-district. Those skilled in the art should understand that the above is only an example, and the zip code can be substituted for any administrative region, which is not limited in the present disclosure.

[40] For the setting database for storing address information, the reference administrative area information of each house level stored in the tree structure can be obtained from the administrative division table of each country and the correspondence table between zip codes and administrative areas published on the Internet; The name of the reference subject stored in the node and the corresponding first reference information can be obtained by manual annotation.

[41] In the case where the first reference information corresponding to each reference subject name is also stored in the setting database, the order reference information corresponding to the order information to be corrected may be obtained in the following manner. [42] First, the unit information of the lowest level in the order information to be corrected may be acquired as target search information according to the level division in the setting database.

[43] Taking the order information to be corrected as the address information of a hotel order as an example, according to the hierarchical division of addresses in the set database, that is, the tree structure of the database, the information contained in the order information to be corrected can be obtained. Unit information at each level. For example, according to the tree structure "country-province-city-district" in the database, the order information to be corrected is split, and then the administrative area information of each level included in the address information can be obtained. Among them, the administrative area information of the lowest level can be used as the target search information. For example, in the case where the minimum administrative area included in the address information is a sub-area, the sub-area information may be used as the target search information; if the minimum administrative area included in the address information is a sub-area, the sub-area information may be used as the target search information; information as the target search information; other situations are similar and will not be repeated here.

[44] Next, determine the target unit information in the reference unit information of the lowest level of the setting database that matches the unit information of the lowest level in the order information to be corrected. That is, in the tree structure of the setting database, locate the position where the unit information of the lowest level in the order information to be corrected is located. In the tree structure of the setting database, locate the location where the unit information of the lowest level is stored, that is, determine the (matching) reference unit information corresponding to the unit information of the lowest level, and set the reference unit information as target unit information.

[45] After that, determine the target subject name that meets the preset condition among the multiple reference subject names corresponding to the target unit information.

[46] It is set that the reference unit information of each lowest level in the database corresponds to multiple reference subject names, so among the multiple reference subject names, the target subject name can be determined according to preset conditions.

[47] In an example, the subject name corresponding to the order information to be corrected may be matched with a plurality of reference subject names corresponding to the target unit information respectively; and the matching score is the highest and exceeds the first set threshold The reference principal name of , identified as the target principal name.

[48] Finally, obtain order reference information matching the target search information according to the first reference information corresponding to the target subject name.

[49] In the case where the reference information corresponding to each reference subject name is stored in the preset library, according to the first reference information corresponding to the determined target subject name, the information of the pending order information can be obtained. Order reference information _>> The reference information stored in the setting database has high reliability and accuracy, and more accurate target order information can be obtained by using the reference information to correct the order information to be corrected.

[50] In some embodiments, the setting database stores second reference information corresponding to each reference subject name. The second reference information is other reference information other than the reference unit information of each level, and is generally more specific information than the reference unit information of each level. Taking the order information to be corrected as the address information included in the hotel order as an example, the second reference information may be, for example, the street and/or unit where the hotel is located. Wherein, the second reference information is obtained in advance, and is the reference information corresponding to the name of the reference subject with high reliability and accuracy.

[51] In the case where the second reference information corresponding to each reference subject name is stored in the setting database, the method of determining the name of the target subject is similar to the above method, the difference is that after the target subject is determined After the name, the order reference information corresponding to the order information to be corrected is obtained according to the reference unit information of each level corresponding to the target subject name and the second reference information corresponding to the target subject name.

[52] According to the reference unit information of each level corresponding to the target subject name, and the target subject name The corresponding second reference information, the complete information of the target subject name can be obtained,

Correcting the order information to be corrected based on the complete information can obtain more accurate and complete target order information.

[53] In some embodiments, order reference information corresponding to the order information to be corrected may also be obtained from the Internet according to the target search information.

[54] In one example, the Internet may be searched according to, for example, the subject name or at least one content element of the order information to be corrected. One or more candidate order reference information, each candidate order reference information is matched with the to-be-corrected order information, and the candidate order reference information with the highest matching score and exceeding the second set threshold is obtained as the order reference information.

[55] Taking the order information to be corrected as the address information of a hotel order as an example, the target search information may include the zip code contained in the address information, and/or one of which is administrative area information. According to the subject name corresponding to the address information, that is, the hotel name, and at least one content element included in the address information, a plurality of candidate address information that may be hotel addresses can be obtained from the Internet. By performing fuzzy matching between each candidate address information obtained from the Internet and the order information to be corrected according to address components, the candidate address information with the highest matching score and exceeding the second set threshold can be used as the to-be-corrected address information The order reference information of the order information is corrected to obtain more accurate hotel address information.

[56] In the case that the matching scores of two or more candidate address information are the same, any one of the candidate address information can be retained and the other candidate address information can be deleted.

[57] In the embodiment of the present disclosure, the organizational storage of administrative regions at all levels and the zip codes corresponding to the administrative regions in the address database can be set according to the regulations of the target country, so the correction method can be easily extended to the itinerary information of any destination country 's correction.

[58] In some embodiments, retrieval may be performed first in the setting database according to the target search information, and then in the interconnection.

[59] In the case where there is no target subject name matching the subject name corresponding to the order information to be corrected in the setting database, the reference information corresponding to the order information to be corrected obtained from the Internet, and the The subject name corresponding to the order information to be corrected is added to the information corresponding to the lowest-level reference unit information in the setting database, that is, the subject name is added to the reference subject name corresponding to the corresponding lowest-level reference unit information . For the setting database of the tree structure, the name of the subject corresponding to the order information to be corrected and the order reference information are stored in the leaf nodes of the tree structure, which become the name of the newly added reference subject and the corresponding reference information.

[60] In the case where the reference information obtained from the setting database is inconsistent with the reference information obtained from the Internet, the reference information corresponding to the to-be-corrected order information obtained from the Internet and the The subject name corresponding to the order information updates the information corresponding to the reference unit information of the lowest level in the setting database. That is, the reference information of the target subject name corresponding to the reference unit information of the lowest level in the setting database is replaced with the reference information corresponding to the order to be corrected obtained from the Internet. For the setting database of the tree structure, that is, the reference information corresponding to the order information to be corrected is replaced with the reference information corresponding to the reference subject name originally stored in the leaf nodes of the tree structure, so as to realize the Updates to reference information referring to principal names. [61] In an example, before updating the reference information of the reference subject name, the latest update time of the reference information corresponding to the order information to be corrected obtained from the Internet may be obtained, and the determination based on the update time Whether to update the reference information of the reference subject name. For example, if the latest update time is within the set time range, such as within the last year or within the last 6 months, the update can be performed; on the contrary, if the latest update time exceeds the set time range, then the update can be performed. A prompt message is output, and the technician determines whether to update to avoid incorrect update.

[62] In the embodiment of the present disclosure, by using the reference information obtained from the Internet to add and update the setting database, the reliability and accuracy of the reference information obtained from the setting database can be ensured. Thus, more accurate order information to be corrected can be obtained from the pending order.

[63] When applying for a visa for outbound tourism, it is necessary to fill in hotel information and provide a hotel itinerary for review. Text recognition and information extraction for hotel itinerary can reduce cumbersome user filling and simplify the review process. However, due to the accuracy of the OCR results, the information extracted from the OCR results may be wrong.

[64] In related technologies, N-grams are usually used to correct the text recognition results. However, because the training of N-grams relies on thesaurus, the thesaurus of address information, especially the overseas terminology, is usually not available. It is complete, because the correction effect of the N-gram model for the recognition results of the order text of the hotel order class is not good.

[65] By applying the method for correcting order information proposed in at least one embodiment of the present disclosure to automatic visa processing, the hotel address information in the text recognition result of the hotel itinerary can be corrected, such as correcting wrong information in the hotel address, Or complete the incomplete hotel address, which improves the accuracy and reliability of automatic visa information filling, improves user experience, and helps speed up the approval process. In addition, since the correction method of the present disclosure can use the reference information obtained from the Internet for correction, or update the setting database according to the reference information obtained from the Internet, the problem of incomplete thesaurus can be solved, and better correction can be obtained. Effect.

[66] In the embodiment of the present disclosure, the order information to be corrected includes at least address information and hotel information. In this case, the order information to be corrected can be obtained from the text recognition result of the order to be processed by the following method.

[67] First, acquire the text recognition result of the order, where the text recognition result includes multiple text boxes.

[68] Next, from the plurality of text boxes, a first text box containing key information is determined. The key information may include at least one content element of the order information to be corrected and at least one of keywords indicating the order information to be corrected.

[69] In the case where the order information to be corrected is address information, the key information may include the content element "zip code" in the address information, and if the region to which the address information belongs is known, the digit of the zip code may be determined. number. Taking the order information to be corrected as an example of an address in Thailand, since the postal code of Thailand is 5 digits, it can be determined that the key information is 5 digits. In this step, a text box containing 5 digits is determined as the first text box. Considering that the identified content may include more than 5 digits, for example, the text box includes 8 digits, etc., in order to reduce additional discrimination operations, it can be determined in the actual application process that only contains 5 digits of the text box , as the first text box.

[70] In some embodiments, for the found zip code, a search may also be performed in the zip code list of the region to which the found zip code belongs, to confirm that the found zip code is indeed the zip code of the region to which the found zip code belongs coding.

[71] In the case where the region to which the address information belongs is unknown, the number of digits of postal codes around the world can be integrated, and the key information can be determined as a number of 4 to 9 digits. Then in this step, determine the text boxes containing 4 to 9 digits respectively, as the first text box. In a possible implementation manner, in order to reduce additional discrimination operations, a text box containing only 4-9 digits may be determined as the first text box, that is, for a text box containing 10 or more digits Not be considered.

[72] The key information may also include content elements in the address information—administrative area information, such as “Thailand” or “Thailand”, then in the multiple text boxes, it can be determined to include “Thailand” or “Thailand” such as The text content of the text box as the first text box.

[73] The key information further includes keywords indicating the order information to be corrected. Taking the order information to be corrected as an address as an example, the keywords include "address", "address", and expressions in other languages. Keywords for the address. It should be noted that the form of the keyword is not limited in this application, for example, it may include various expressions such as full name and abbreviation.

[74] After that, according to the first text box, combine at least a part of the multiple text boxes to obtain a combined text box.

[75] In the embodiment of the present disclosure, the text box to be merged is determined based on the first text box. For example, the text boxes to be combined may be determined according to the positional relationship with the first text box, and the text boxes to be combined may be combined to obtain a combined text box.

[76] Finally, obtain the order information to be corrected from the merged text box.

[77] According to the content contained in the combined text box or the format information of the combined text box, or according to the content contained in the combined text box and the format information of the combined text box, the The order information to be corrected is extracted from the merged text box.

[78] In this embodiment of the present disclosure, a first text box containing key information is determined in a plurality of text boxes included in the text recognition result of the order to be processed, and at least part of the text is evaluated according to the first text box. The frames are merged to obtain a merged text frame, and the order information to be corrected is obtained from the merged text frame, which can implement efficient information processing in the pending order according to the key information in the information of the to-be-corrected order.

[79] In some embodiments, the text boxes may be combined in the following manner to obtain a combined text box.

[80] First, obtain the positional relationship between each text box in the plurality of text boxes except the first text box and the first text box. The positional relationship includes the positional relationship between other text boxes (that is, any text box other than the first text box or a specified text box) and the first text box, for example, in the position of the first text box. Above or below, the distance to the first text box is also included, for example, the distance in pixels from the first text box in the vertical direction and the distance in pixels in the horizontal direction. Wherein, the distance between the text boxes is determined according to the distance between the center points of the two text boxes.

[81] Next, determine the text box whose positional relationship between each of the text boxes and the first text box belongs to the set range as the second text box. For example, the text box above the first text box may be determined as the second text box, or the text box whose pixel distance from the first text box in the vertical direction is within a set threshold may be determined as the second text box text boxes, etc.

[82] After that, take the first text box and the second text box as text boxes to be combined, and combine them to obtain the combined text box.

[83] In an embodiment of the present disclosure, according to a plurality of texts other than the first text box in the text recognition result box, and the positional relationship with the first text box containing the key information to determine the text boxes to be combined, and combine the text boxes to be combined. In this way, the text box objects to be merged can be narrowed down to the range related to the order information to be corrected, which reduces the amount of information processing and improves the information processing efficiency.

[84] The merging of the to-be-merged text boxes may be performed on a line basis. That is, according to the row to which each text box in the to-be-combined text box belongs, the to-be-combined text boxes are combined to obtain the combined text box.

[85] In the case that the number of text boxes belonging to the same row in the text boxes to be merged is one, one text frame belonging to the same row is determined as a merged text frame.

[86] In the case where the number of text boxes belonging to the same row in the text boxes to be merged is multiple, merge the multiple text boxes belonging to the same row to obtain a merged text frame.

[87] Figure 3A shows an exemplary merge result. As shown in FIG. 3A , it includes multiple lines of merged text boxes, including merged text boxes 301 to 303, wherein the merged text boxes in each row are obtained by merging one or more text boxes included in the row.

[88] In the embodiment of the present disclosure, according to the row to which each text box belongs, the text boxes to be combined are combined, and the combined text box corresponding to each row is obtained, which is beneficial to subsequent information processing.

[89] In some embodiments, for a plurality of text boxes belonging to the same row, when the distance between two adjacent text boxes is less than a first threshold, the two adjacent text boxes are merged; By merging every two adjacent text boxes in the same row that meet the above conditions, a combined text box corresponding to the row is obtained. Wherein, the first threshold may be specifically determined according to the format feature of the order information to be corrected.

[90] For multiple text boxes belonging to the same row, when the distance between adjacent text boxes is greater than or equal to the first threshold, it indicates that the two adjacent text boxes may not be related content, and are different from the content to be corrected order information, so the adjacent text boxes are not merged.

[91] In the case of merging adjacent text boxes on the same row to obtain more than one combined text box, determine the corresponding Merge text boxes. For example, the combined text box with the closest horizontal distance to the first text box is used as the final combined text box.

[92] In the embodiment of the present disclosure, by restricting the merging conditions between adjacent text boxes in the same row, it is possible to avoid merging text boxes of irrelevant content into the merged text boxes, which improves the efficiency of information processing. Accuracy.

[93] In some embodiments, the order information to be corrected may be acquired from the merged text box according to the format feature of the order to be processed.

[94] The format feature of the order to be processed includes the distance feature between each line of text, the font feature of each line of text, the positional relationship feature between texts, and so on.

[95] According to the format feature, the target direction for obtaining the order information to be corrected can be determined, and the order information to be corrected is obtained according to the target direction.

[96] For example, when the order information to be corrected is address information and the key information is a zip code, since the zip code is usually located at the end of the address information, it can be determined that the order information to be corrected is located at the Above a text box, the target direction for extracting the order information to be corrected can be determined, and the extraction is performed according to the target direction.

[97] For another example, when the order information to be corrected is address information, and the key information is a keyword indicating the address information In the case of “address (address)”, since the key word “address” is usually located at the forefront of the address information, it can be determined that the order information to be corrected is located below the first text box, so that it can be determined that the order to be corrected is extracted The target direction of the information is extracted according to the target direction.

[98] In the embodiment of the present disclosure, by determining the target direction according to the format feature of the order to be processed, and obtaining the order information to be corrected from the merged text box according to the target direction, the efficiency of information processing can be improved.

[99] In some embodiments, the target direction includes a first target direction and a second target direction, and the first target direction is used to indicate that the merge is traversed in the process of locating the area where the order information to be corrected is located The direction of the text box, the second target direction is used to indicate the direction of reading the order information to be corrected from the area where the order information to be corrected is located.

[100] In an example, take the merged text box containing the first key information as the starting position, and traverse the merged text box according to the first target direction until the merged text box where the last key information is located is found. Take the merged text box where the last key information is located as the starting position, traverse the merged text box according to the second target direction until the merged text box where the first key information is located is found, and Acquire the content traversed according to the second target direction. Wherein, the key information may include a keyword indicating the order information to be corrected, at least one content element of the order information to be corrected, a subject name of the order information to be corrected, and the like. Taking the order information to be corrected as address information as an example, the keywords indicating the address information include "address",

"address", and keywords for addresses in other languages.

[101] Referring to the exemplary merged text box shown in FIG. 3A, the key information is "10110" (zip code), starting from the first text box containing "10110", that is, from the merged text box 301 Initially, the combined text box is traversed upward until the combined text box 302 where the key information "Address" is located is found. Then take the key information "Address" as the starting position, traverse the merged text box downward until the merged text box 301 where the key information "10110" is located is found, and obtain the content traversed downward as the waiting Correct order information. It should be noted that, for "address" in English interpretation, the uppercase and lowercase forms of some or all letters in a word are not limited, and can be adjusted according to the actual situation. That is to say, in the actual identification and other processing processes, the same processing method can be adopted for ADDRESS, Address, address, etc., that is, they are all identified as "addresses".

[102] In an example, the method further includes: obtaining a distance between adjacent merged text boxes. Wherein, the adjacent merged text boxes include two merged text boxes that are adjacent in the vertical direction. The multiple merged text boxes obtained from the text recognition result include multiple pairs of adjacent merged text boxes. As shown in FIG. 3B, the merged text boxes 311-314 include adjacent merged text boxes 311-312, adjacent merged text boxes 312-313, and adjacent merged text boxes

[103] Taking the first text box as a starting position, traverse the combined text box according to the first target direction, until an adjacent combined text box whose distance satisfies the first set condition is found. The traversing includes acquiring the text content in the combined text box, and also includes acquiring the distance between the combined text box and its adjacent combined text box, wherein the adjacent combined text box is traversing the combined text box. Iterates between merged text boxes. Next, take the first traversed merged text box as the starting position in the adjacent merged text boxes whose distance satisfies the first set condition, and traverse the merged text frame according to the second target direction until the merged text frame is found. until the merged text box where the key information is located, and acquire the content traversed according to the second target direction. Wherein, that the distance of adjacent merged text boxes satisfies the first set condition includes: the distance of the adjacent merged text boxes is greater than the first inter-frame distance threshold.

[104] Referring to the exemplary merged text box shown in FIG. 3B, the key information is "10400" (zip code), and the first text box containing the zip code is taken as the starting position, that is, the first text box containing "10400" The text box is the starting position, That is, starting from the merged text box 311, the merged text box is traversed upward. Taking traversing to the merged text box 312 as an example, it includes acquiring the content in the merged text box 312 and obtaining the distance between the merged text box 312 and the merged text box 311 . The distance between the two text boxes may be the pixel distance between the center points of the two text boxes in the vertical direction, or the pixel distance between the corresponding positions of the two text boxes may be used as the distance between the two text boxes , for example, in the case of left-aligned two text boxes, the corner points of the two text boxes at the upper left corner or the lower left corner can be used as the two vertices for determining the distance, and the pixels between the two vertices can be used to determine the distance. distance as the distance between two text boxes. Of course, other methods similar to the above-mentioned contents can also be used to determine the distance between the two text boxes. The specific implementation process is not limited in this application, and may include but not be limited to the above exemplified situations. In the case where the distance between the merged text box 312 and the merged text box 311 does not satisfy the first set condition, that is, the distance between the merged text box 312 and the merged text box 311 is less than or equal to the first inter-frame distance threshold, Continue to traverse upwards. When it is detected that the distance between the combined text box 314 and the combined text box 313 satisfies the first set condition, that is, the distance between the combined text box 314 and the combined text box 313 is greater than the first inter-box distance threshold, then Stop traversing upwards. Next, take the combined text box 313 as the starting position, that is, take the combined text box 313 that is first traversed in the combined text box 314 and the combined text box 313 as the starting position, and traverse the combined text box downward until searching for Go to the merged text box 311 where the key information zip code "10400" is located, and acquire the content traversed downward as the order information to be corrected.

[105] In the embodiment of the present disclosure, the relationship between the first target direction and the direction to which the second target direction points respectively is not limited, that is, the first target direction and the second target direction may be at a certain angle, for example, the The first target direction and the second target direction may be opposite (ie, 180°), or may be the same (ie, 0°).

[106] In an example, when the first key information is located at the beginning of the order information to be corrected, the first target direction may indicate a downward traversal of the merged text box, by traversing the merged text box downward until searching for Go to the last key information, or find adjacent merged text boxes whose distance satisfies the first set condition. In the case where the first key information is located at the beginning of the order information to be corrected, the first target direction and the second target direction are the same, and the traversal is performed again in the above-mentioned traversed area according to the second target direction, and the traversed area is obtained. The content is used as the order information to be corrected.

[107] In some embodiments, the adjacent merged text box is used as the target adjacent merged text box, then the first inter-frame distance threshold corresponding to the target adjacent merged text box is determined according to at least one of the following : the height of the merged text box first traversed in the adjacent merged text boxes of the target; the distance between the merged text boxes contained in the traversed adjacent merged text boxes and the height of the merged text box first traversed. Wherein, the target adjacent merged text boxes are two adjacent merged text boxes for which the first inter-frame distance threshold is to be determined. In this embodiment of the present disclosure, the first inter-frame distance thresholds corresponding to each pair of adjacent merged text boxes may be different.

[108] In an example, the first inter-frame distance threshold is determined according to the height of the merged text box first traversed in the target adjacent merged text frame.

[109] Taking the first inter-frame distance threshold corresponding to the adjacent merged text boxes 311 and 312 in FIG. 3B as an example, because in the process of locating the area where the order information to be corrected is located, each merged text frame is from bottom to top During traversal, the adjacent merged text boxes 311 and 312 are first traversed adjacent merged text boxes in this example, and the first inter-frame distance threshold corresponding to the two can be determined according to the height of the merged text box 311 . For example, the first inter-box distance threshold is set to 0.65*mean_heightl (the height of the merged text box 311).

[110] In an example, the first inter-frame distance threshold may be based on the traversed adjacent merged text boxes included The distance between the included merged text boxes and the height of the first traversed merged text box are determined. The first traversed merged text box is the first traversed merged text box in the process of locating the region where the order information to be corrected is located.

[111] Taking the first inter-frame distance threshold corresponding to the adjacent merged text boxes 312 and 313 in FIG. 3B as an example, according to the distance between the traversed adjacent merged text boxes 311 and 312, and the first traversed The heights of the text boxes 311 are combined to determine the first inter-frame distance threshold corresponding to the two. For example, the first inter-frame distance threshold threshold is set to mean l_distance+standard l_deviation , where mean l_distance represents the distance between adjacent merged text frames 311 and 312 , and standard l_deviation represents the disturbance corresponding to the merged text frames 311 and 312 value, standard 1 _deviation=0.25 *height 1 , height 1 is, for example, the height of the merged text box 311 .

[112] In the case where there are more than one pair of adjacent text boxes that have been traversed, taking the first inter-frame distance threshold corresponding to the adjacent text boxes 313 and 314 in FIG. 3B as an example, according to the traversed adjacent text boxes The distance between the combined text boxes 311 and 312, the distance between the adjacent combined text boxes 312 and 313, and the height of the combined text box 311 traversed first are used to determine the first target adjacent text boxes 313 and 314 corresponding to The distance threshold between boxes.

[113] In an example, the first inter-frame distance threshold corresponding to the target adjacent merged text boxes may be determined by: obtaining the updated inter-frame distance of the target adjacent merged text boxes, and the updated inter-frame distances The distance is obtained by weighted summation of the distances between the merged text boxes included in the reference adjacent merged text boxes and the updated inter-frame distances between the merged text boxes included in the reference adjacent merged text boxes, wherein , the reference adjacent text frame is the adjacent merged text frame closest to the target merged text frame; the update disturbance value of the target adjacent merged text frame is obtained, and the updated disturbance value is obtained by comparing all the first traversed The absolute value of the disturbance value of the adjacent merged text box and the distance difference value are obtained by weighted summation, wherein the distance difference value is the updated inter-frame distance of the target adjacent merged text frame and the reference adjacent merge. The difference between the distances between the merged text boxes included in the text box, the disturbance value is determined according to the height of the merged text box that is first traversed; according to the distance between the update boxes and the update disturbance value, it is determined that the target is adjacent The first inter-box distance threshold for merging text boxes.

[114] Still taking the first inter-frame distance threshold corresponding to the adjacent text boxes 313 and 314 in FIG. 3B as an example, first obtain the updated inter-frame distance new_mean=0.6*mean_distance+0.4 corresponding to the adjacent text boxes 313 and 314 *mean2_distance; wherein mean_distance is the updated inter-frame distance between the merged text boxes included in the reference adjacent merged text boxes 312 and 313 . In this example, except for the first traversed adjacent merged text box, the distance between the update boxes corresponding to each adjacent merged text frame is obtained in the same manner. The distance between the update boxes corresponding to the first traversed adjacent merged text boxes is the distance between the included merged text boxes. Next, obtain and update the disturbance value new_deviation=0.6*standardl_deviation+0.4*abs(mean2_distance-new_mean), wherein, standard 1_deviation as described above, represents the disturbance value corresponding to the merged text boxes 311 and 312, which is, for example, the merged text boxes The height of 311, the meanings of mean2_distance and new_mean are as described above. Finally, a first inter-frame distance threshold corresponding to the target adjacent merged text boxes 313 and 314 is determined according to the update inter-frame distance and the update disturbance value obtained above.

[115] Those skilled in the art should understand that the numerical values of the above parameters are only used for examples, and are not intended to be limiting, and the numerical values of the respective parameters and the weighting coefficient values can be determined according to actual needs.

[116] For the multiple merged text boxes shown in FIG. 3B, by applying the method for determining the distance between the first boxes described above, when traversing upward from the merged text box 311, it is detected that the merged text box 314 and the merged text are of box 313 The distance between them is greater than the corresponding first inter-frame distance threshold, so the traversal is stopped. Next, the merged text box 313 that is first traversed in the merged text box 314 and the merged text box 313 is used as the starting position, and each merged text box is traversed downward. , until the merged text box 311 where the key information is located is found, and the content obtained by the downward traversal is obtained.

[117] In the embodiment of the present disclosure, by setting a disturbance value to the distance threshold, and updating the current distance threshold according to the distance of the adjacent merged text boxes that have been traversed and the merged text box that was first traversed, the implementation of the present disclosure is improved. The error-tolerance rate of the information extraction method proposed in this example can be used to extract the order information to be corrected more effectively.

[118] In some embodiments, after extracting the order information to be corrected, it is also possible to follow the target direction, according to the positional relationship with the area where the order information to be corrected is located, from where the order information to be corrected is located. The name of the subject corresponding to the order information to be corrected is determined in the merged text box outside the area.

[119] In files of various formats, the text box closest to the region where the extracted target region is located is the text box of the subject name corresponding to the order information to be corrected. Taking the partial screenshot of the hotel order shown in FIG. 3B as an example, it can be seen that the text box above the extracted address information is the name of the hotel, the subject of the address information. The same is true for documents such as business cards and shopping orders. The text box closest to the area where the address information, identity information, etc. are located is the text box where the name of the subject of the information is located.

[120] In an example, the subject name corresponding to the order information to be corrected may be determined by the following method.

[121] First, determine the merged text box that is closest to the area where the order information to be corrected is located in the first target direction; take the merged text frame as a starting position, and traverse all the text boxes according to the first target direction Describe the merged text box until the adjacent merged text box whose distance satisfies the second set condition is found; starting from the merged text box traversed first in the adjacent merged text box whose distance satisfies the second set condition traverse the merged text box outside the region where the order information to be corrected is located according to the second target direction, and acquire the content traversed according to the second target direction.

[122] Taking the merged text box shown in FIG. 3C as an example, the content contained in the merged text boxes 321-322 is the order information to be corrected extracted according to the method for correcting order information described in any embodiment of the present disclosure. The area where the merged text boxes 321-322 are located is determined as the area where the order information to be corrected is located. In each merged text box determined according to the text recognition result, except the merged text boxes 321-322, the region where the order information to be corrected is located is in the first target direction (the direction of search traversal, in In this example, it is up) and the closest merged text box is 323 (there is a non-target language text between the merged text box 322 and the merged text box 323, as shown in gray, which is ignored). Taking the merged text box 323 as the starting position, the merged text box is traversed upward. Since the distance between the adjacent merged text boxes above the merged text box 323 and the merged text box 323 exceeds the second inter-frame threshold, that is, the second set condition is satisfied (there is no other merged text above the merged text box 323 . box, it is also considered that the second setting condition is met), then take the merged text box 323 as the starting position, and traverse down the merged text box outside the area where the order information to be corrected is located, which in this example is The text box 323 is merged, so that the content "XXXXXX Hotel" in the merged text box can be determined as the name of the subject of the order information to be corrected, that is, "XXXXXX Hotel" is determined as the name of the subject of the order information to be corrected.

[123] In some embodiments, when taking the merged text box as a starting position and traversing the merged text frame according to the first target direction, ignore the merged text frame that is not above the area where the target is located, and also That is, a merged text box that has no horizontal intersection with the merged text box where the order information to be corrected is located is ignored.

[124] In an example, in the case that the traversed merged text box contains ")" but does not have "(", the distance condition between adjacent merged text boxes can be ignored, and the process continues in the first target direction traverse the merged textbox, Until "(" is found, then determine whether to stop traversing according to the distance between adjacent merged text boxes. In this example, the distance threshold between the second boxes can be set to 0.4*mean_height (the average of adjacent merged text boxes high).

[125] In an example, in the case that the currently traversed merged text box contains complete brackets "( )", or does not contain brackets, the second inter-box distance threshold can be set to 0.6*mean_height (adjacent merged the average height of the text box). Those skilled in the art should understand that the above coefficient settings are all examples, which are not limited in the present disclosure.

[126] The information extraction method proposed by any embodiment of the present disclosure can be applied to images or electronic documents of various formats, and various formats include at least one of the following: a hotel order, an airplane itinerary, a passport, an ID card, etc., The electronic document may be a pdf document. By applying the information extraction method to the above images or electronic documents of various formats, the corresponding type of order information to be corrected contained in the images or electronic documents can be extracted, including at least one of the following: address information, itinerary information , identity information, etc.

[127] FIG. 4 is an apparatus for correcting order information provided by at least one embodiment of the present disclosure. The apparatus includes: an obtaining unit 401 for obtaining order information to be corrected according to a text recognition result of the order; a determining unit 402 for obtaining order information from The target search information is determined in the text recognition result; the matching unit 403 is used to obtain order reference information matching the target search information; the correction unit 404 is used to correct the order information to be corrected by using the order reference information, to get the target order information.

[128] In some embodiments, the target search information includes at least one of the following: the target search information includes a subject name of the order information to be corrected and at least one content element of the order information to be corrected. at least one.

[129] In some embodiments, the matching unit is specifically used for at least one of the following: obtaining order reference information matching the target search information from the setting database; obtaining the target search information through the Internet Matching order reference information.

[130] In some embodiments, the setting database includes reference unit information of a plurality of levels, and the reference unit information of the lowest level in the plurality of levels corresponds to a plurality of reference subject names.

[131] In some embodiments, the setting database stores the first reference information corresponding to the name of the reference subject; the determining unit is specifically configured to: obtain the to-be-corrected according to the hierarchical division in the setting database the unit information of the lowest level in the order information; the matching unit is specifically configured to: determine the target unit that matches the unit information of the lowest level in the order information to be corrected in the reference unit information of the lowest level of the setting database information; determine a target subject name that meets a preset condition among the multiple reference subject names corresponding to the target unit information; obtain a target subject name matching the target search information according to the first reference information corresponding to the target subject name Order reference information.

[132] In some embodiments, the setting database stores second reference information corresponding to the name of the reference subject; the determining unit is specifically configured to: obtain the to-be-corrected data according to the hierarchical division in the setting database the unit information of the lowest level in the order information; the matching unit is specifically configured to: determine the target unit that matches the unit information of the lowest level in the order information to be corrected in the reference unit information of the lowest level of the setting database information; determine the target subject name that meets the preset condition among the multiple reference subject names corresponding to the target unit information; according to the reference unit information of each level corresponding to the target subject name, and the target subject name Corresponding second reference information, obtain order reference information matching the target search information. [133] In some embodiments, when the matching unit determines a target subject name that meets a preset condition among the multiple reference subject names corresponding to the target unit information, the matching unit is specifically configured to: match the order to be corrected The subject names corresponding to the information are respectively matched with multiple reference subject names corresponding to the target unit information; the reference subject name with the highest matching score and exceeding the first set threshold is determined as the target subject name.

[134] In some embodiments, the matching unit is specifically configured to: perform a search on the Internet according to the target search information, and obtain one or more candidate order reference information matching the target search information; The order reference information is matched with the order information to be corrected; and the candidate order reference information with the highest matching score and exceeding the second set threshold is obtained as the order reference information.

[135] In some embodiments, the device further includes an adding unit for adding the order reference information obtained from the Internet and the subject name corresponding to the order information to be corrected, and adding force P to the device In the information corresponding to the reference unit information of the lowest level in the database.

[136] In some embodiments, the device further includes an update unit, configured to update the information in the setting database according to the order reference information obtained from the Internet and the subject name corresponding to the order information to be corrected. The information corresponding to the reference unit information of the lowest level is updated.

[137] In some embodiments, the order information to be corrected includes at least address information, and at least one content element included in the address information includes at least one of the following: administrative area, postal code; Reference unit information at multiple levels includes reference borough information or zip code information.

[138] In some embodiments, the obtaining unit is specifically configured to: obtain a text recognition result of the object to be processed, where the text recognition result includes multiple text boxes; The first text box of the information, the key information includes at least one content element of the order information to be corrected and at least one of the keywords indicating the order information to be corrected; according to the first text box, to At least a part of the multiple text boxes is combined to obtain a combined text box; and the order information to be corrected is acquired from the combined text box.

[139] An embodiment of the present disclosure further provides an electronic device, the device includes a memory and a processor, where the memory is used to store computer instructions that can be executed on the processor, and the processor is used to execute the computer instructions. The method for correcting order information described in any embodiment of the present disclosure is implemented.

[140] According to an embodiment of the present disclosure, there is also provided a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for correcting order information described in any embodiment of the present disclosure is implemented.

[141] The order information correction method, device, device and storage medium according to one or more embodiments of the present disclosure, obtain order information to be corrected according to the text recognition result of the order, and determine target search information from the text recognition result, Acquiring order reference information matching the target search information, and using the order reference information to correct the order information to be corrected to obtain target order information, can quickly obtain accurate target order information from the text recognition result of the order.

[142] FIG. 5 provides an electronic device according to at least one embodiment of the present disclosure, the device includes a memory and a processor, where the memory is used to store computer instructions that can be executed on the processor, and the processor is used to execute all The method for correcting order information described in any embodiment of the present disclosure is implemented when the computer instruction is used.

[143] At least one embodiment of the present disclosure also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for correcting order information described in any embodiment of the present disclosure is implemented .

[144] At least one embodiment of the present disclosure also provides a computer program, comprising computer-readable code, When the computer-readable code is executed in an electronic device, the processor in the electronic device implements the method for correcting order information described in the first aspect when executed.

[145] The computer program product of order information provided by the embodiments of the present disclosure includes a computer-readable storage medium storing computer-readable codes, and the instructions included in the computer-readable codes can be used to execute the methods described in the foregoing method embodiments. The correction method of the order information.

[146] As will be appreciated by those skilled in the art, one or more embodiments of this specification may be provided as a method, system or computer program product. Accordingly, one or more embodiments of this specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of this specification may employ a computer program implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein form of the product.

[147] Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the data processing device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part may refer to the partial description of the method embodiment.

[148] The foregoing describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[149] Embodiments of the subject matter and functional operations described in this specification can be implemented in: digital electronic circuits, tangible embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. Embodiments of the subject matter described in this specification may be implemented as one or more computer programs, ie, one or more of computer program instructions encoded on a tangible non-transitory program carrier for execution by or to control the operation of data processing apparatus or multiple modules. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagated signal, such as a machine-generated electrical, optical or electromagnetic signal, which is generated to encode and transmit information to a suitable receiver device for use by the data The processing device executes. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[150] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be implemented by dedicated logic circuits such as FPGAs (Field Programmable Gate Arrays) or ASICs.

(application-specific integrated circuit), and the apparatus may also be implemented as an application-specific logic circuit.

[151] Computers suitable for the execution of a computer program include, for example, general and/or special purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from read only memory and/or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, or the computer will be operably interfaced with such mass storage devices to receive data from or to It transmits data, or both. However, the computer does not have to have such a device. Furthermore, the computer can be embedded in another device, such as a mobile phone, a personal Digital Assistant (PDA) mobile audio or video players, game consoles, Global Positioning System (GPS) receivers, or portable storage devices such as Universal Serial Bus (USB) flash drives, to name a few.

[152] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, including, for example, semiconductor memory devices (eg, EPROM, EEPROM, and flash memory devices), magnetic disks (eg, internal hard disk or removable disk), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and memory may be supplemented by or incorporated in special purpose logic circuitry.

[153] Although this specification contains many specific implementation details, these should not be construed as limiting the scope of any invention or the scope of what is claimed, but are primarily used to describe features of specific embodiments of particular inventions. Certain features that are described in this specification in the context of multiple embodiments can also be implemented in combination in a single embodiment. On the other hand, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Furthermore, although features may function as described above in certain combinations and even be claimed as such, one or more features from a claimed combination may in some cases be removed from the combination and the claimed A protected combination may point to a subcombination or a variation of a subcombination.

[154] Similarly, although operations are depicted in the figures in a particular order, this should not be construed as requiring that these operations be performed in the particular order shown or sequentially, or that all illustrated operations be performed, in order to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above-described embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product , or packaged into multiple software products.

[155] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Furthermore, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.

Claims

claims

1. A method for correcting order information, the method comprising: obtaining order information to be corrected according to a text recognition result of an order; determining target search information from the text recognition result; obtaining an order reference matching the target search information information; correcting the order information to be corrected by using the order reference information to obtain target order information.

2. The method according to claim 1, wherein the target search information includes at least one of a subject name of the order information to be corrected and at least one content element.

3. The method according to claim 1 or 2, wherein the acquiring order reference information matching the target search information comprises at least one of the following: acquiring the target search information from a setting database matching order reference information; obtain order reference information matching the target search information through the Internet.

4. The method according to claim 3, wherein the setting database includes reference unit information of a plurality of levels, and the reference unit information of the lowest level in the plurality of levels corresponds to a plurality of reference subject names.

5. The method according to claim 4, wherein the setting database stores the first reference information corresponding to the name of the reference subject; and determining the target search information from the text recognition result comprises: according to the setting determining the level division in the database, and acquiring the unit information of the lowest level in the order information to be corrected; acquiring the order reference information matching the target search information from the setting database, including: determining the information of the setting database In the reference unit information of the lowest level, the target unit information that matches the unit information of the lowest level in the order information to be corrected; Determine the target unit that meets the preset condition among the multiple reference subject names corresponding to the target unit information subject name; obtain order reference information matching the target search information according to the first reference information corresponding to the target subject name.

6. The method according to claim 4, wherein the setting database stores second reference information corresponding to the name of the reference subject; determining the target search information from the text recognition result comprises: according to the setting determining the level division in the database, and acquiring the unit information of the lowest level in the order information to be corrected; acquiring the order reference information matching the target search information from the setting database, including: determining the information of the setting database In the reference unit information of the lowest level, the target unit information that matches the unit information of the lowest level in the order information to be corrected; Determine the target unit that meets the preset condition among the multiple reference subject names corresponding to the target unit information subject name; obtain order reference information matching the target search information according to the reference unit information of each level corresponding to the target subject name and the second reference information corresponding to the target subject name.

7. The method according to claim 5 or 6, wherein the determining, among the multiple reference subject names corresponding to the target unit information, the target subject name that meets a preset condition comprises: The subject name corresponding to the correction order information and the multiple parameters corresponding to the target unit information are respectively. The test subject name is matched; the reference subject name with the highest matching score and exceeding the first set threshold is determined as the target subject name.

8. The method according to any one of claims 3 to 7, wherein the obtaining order reference information matching the target search information through the Internet comprises: searching the Internet according to the target search information , obtain one or more candidate order reference information matching the target search information; match each candidate order reference information with the to-be-corrected order information; obtain the candidate with the highest matching score and exceeding the second set threshold Order reference information is used as the order reference information.

9. The method according to claim 8, wherein the method further comprises: adding the order reference information obtained from the Internet and the subject name corresponding to the order information to be corrected to the device In the information corresponding to the reference unit information of the lowest level in the database.

10. The method according to claim 8, wherein the method further comprises: according to the order reference information obtained from the Internet and the subject name corresponding to the order information to be corrected, setting the setting The information corresponding to the reference unit information of the lowest level in the database is updated.

11. The method according to any one of claims 4 to 10, wherein the order information to be corrected includes at least address information, and at least one content element included in the address information includes at least one of the following: administrative region, Postal code, the reference unit information of multiple levels included in the setting database includes reference administrative area information and/or postal code information.

12. The method according to claim 11, wherein the obtaining the order information to be corrected according to the text recognition result of the order comprises: obtaining the text recognition result of the order, wherein the text recognition result includes a plurality of text boxes determining a first text box containing key information from the plurality of text boxes, the key information including at least one content element of the order information to be corrected and at least one of the keywords indicating the order information to be corrected Item 1: According to the first text box, combine at least part of the multiple text boxes to obtain a combined text box; and obtain the order information to be corrected from the combined text box.

13. A device for correcting order information, the device comprising: an obtaining unit for obtaining order information to be corrected according to a text recognition result of the order; a determining unit for determining target search information from the text recognition result; matching a unit for acquiring order reference information matching the target search information; a correcting unit for correcting the order information to be corrected by using the order reference information to obtain target order information.

14. An electronic device comprising a memory and a processor, the memory for storing computer instructions executable on the processor, the processor for implementing claims 1 to 12 when executing the computer instructions The method of any one.

15. A computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method according to any one of claims 1 to 12 is implemented.

16. A computer program, comprising computer-readable codes, when the computer-readable codes are executed in an electronic device, a processor in the electronic device implements any one of claims 1 to 12 when executed. Methods.