CN112732955A - Financial certificate storage and recording method in standard cost accounting - Google Patents
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Abstract
The application provides a financial certificate storage recording method in standard cost accounting, which comprises the steps of constructing a financial certificate template containing a positioning characteristic symbol; zooming the financial certificate picture, and blocking the zoomed financial certificate picture by combining the positioning characteristic symbol to obtain a financial certificate image block which contains the money category and the single operation number as a naming index; and extracting the money number in each financial certificate image block, modifying the naming index of each financial certificate image block by using the obtained money number, and storing in a classified manner according to the modified naming index. Through carrying out similar regional division to the financial voucher after the scanning to increase the location characteristic sign at the regional edge that obtains, so that finally carry out the categorised storage of local financial voucher picture according to the location characteristic sign, realize the automated processing of whole process, promote financial voucher treatment effeciency. Meanwhile, according to the index strongly related to the picture content, the later-stage management and query efficiency can be improved.
Description
Technical Field
The application belongs to the field of image storage, and particularly relates to a financial certificate storage recording method in standard cost accounting.
Background
Because the variety of materials involved in the power industry is various, the amount of financial statements and financial certificates correspondingly generated is very huge, the generated financial data accounting work is complicated, and an effective method for solving the problems is not available at present.
Disclosure of Invention
The embodiment of the application provides a financial voucher storage and recording method in standard cost accounting, similar region division is carried out on scanned financial vouchers, and positioning feature characters are added on the obtained region edges, so that the local financial voucher pictures are finally stored in a classified mode according to the positioning feature characters, the automatic processing of the whole process is achieved, and the financial voucher processing efficiency is improved. Meanwhile, according to the index strongly related to the picture content, the later-stage management and query efficiency can be improved.
Specifically, the financial certificate storage and recording method in standard cost accounting, which is provided by the implementation of the present application, includes:
step 2, scanning the obtained paper financial voucher generated by single operation in the construction project to obtain a financial voucher picture;
step 3, zooming the financial voucher image based on the pixel value ratio of the financial voucher image to the processed financial voucher template, and blocking the zoomed financial voucher image by combining the positioning characteristic symbol to obtain a financial voucher image block which contains the money category and the single-operation number as the naming index;
and 4, extracting the money number in each financial certificate image block, modifying the naming index of each financial certificate image block by the obtained money number, and storing the obtained financial certificate image blocks in a classified manner according to the modified naming index.
Optionally, step 1 includes:
s11, acquiring a general financial voucher template;
s12, performing area division on the general financial voucher template according to the meanings of different area representations to obtain an area unit with a positioning feature symbol;
and S13, judging whether the area unit combination is carried out according to the meaning of the keywords in the adjacent area units, and dividing the table frame line of the combined area unit according to the character length of the keywords to obtain the positioning characteristic character expressed by the divided dotted line.
Optionally, the S12 includes:
and S121, adding a positioning characteristic symbol for indicating the region edge inside the region unit edge.
Optionally, the S121 includes:
s1211, obtaining a final table frame line of the area unit edge;
s1212, zooming the table frame line by a preset distance along the center direction of the edge of the area unit;
s1213, dividing the scaled table frame line according to the character length of the keyword of the merged area unit, and only keeping the line segment at the corner of the area unit as the positioning characteristic symbol.
Optionally, step 3 includes:
s31, respectively obtaining the pixel values of the financial voucher picture and the financial voucher template, and determining the scaling according to the ratio of the pixel values of the financial voucher picture and the financial voucher template;
s32, zooming the financial voucher picture based on the obtained zooming proportion;
s33, extracting the single job number in the zoomed financial voucher picture;
s34, determining the position of each positioning characteristic character in the financial voucher template;
s35, extending the line segments in each positioning feature to obtain a closed interval surrounded by the extension lines, wherein the local financial voucher picture contained in each closed interval is the obtained block;
and S36, extracting the money category key words in each block and combining the obtained single-time operation numbers to construct the naming indexes of the obtained blocks.
Optionally, the S36 includes:
s361, obtaining the money category keywords in the obtained blocks based on an image recognition algorithm;
and S362, extracting the Chinese pinyin initials of the money category keywords, connecting the obtained letter abbreviations to the obtained single-operation numbers, and forming the naming indexes corresponding to the obtained blocks.
Optionally, the step 4 includes:
and S41, connecting the obtained money number with the obtained naming index to obtain a modified naming index.
Optionally, the step 4 includes:
and S42, extracting the characters at specific positions of the obtained naming index based on the money number to obtain the modified naming index.
Optionally, the S42 includes:
s421, performing mathematical operation on the item numbers, and extracting characters at specific positions from the obtained naming indexes according to the operation result.
Optionally, the mathematical operation includes:
and (5) performing remainder operation.
The beneficial effect that technical scheme that this application provided brought is:
through carrying out similar regional division to the financial voucher after the scanning to increase the location characteristic sign at the regional edge that obtains, so that finally carry out the categorised storage of local financial voucher picture according to the location characteristic sign, realize the automated processing of whole process, promote financial voucher treatment effeciency.
Meanwhile, according to the index strongly related to the picture content, the later-stage management and query efficiency can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flowchart of a method for storing and recording financial documents in standard cost accounting according to an embodiment of the present application;
fig. 2 is a schematic diagram of a positioning feature according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a zoom process according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a final positioning feature proposed in an embodiment of the present application;
FIG. 5 is a schematic diagram of a zoom process proposed in the embodiments of the present application;
fig. 6 is a photograph of a financial document with an enclosed area according to an embodiment of the present application.
Detailed Description
To make the structure and advantages of the present application clearer, the structure of the present application will be further described with reference to the accompanying drawings.
Standard cost accounting is a completely new concept proposed in recent years for data accounting in financial systems. The financial processing method is characterized in that standard values of all items in the whole accounting process are obtained, and the standard values are used as accounting standards to account the expense data in the current financial year. In order to implement the whole process of standard cost accounting, various paper financial certificates in actual production and operation activities need to be converted into electronic image files, and then the obtained electronic image files, namely financial certificate image blocks, are classified and stored according to different types of each type of money, so that single standard cost accounting can be carried out according to the classified and stored financial certificate image blocks at a later stage.
In order to complete the operation of classifying and storing the financial certificate image blocks proposed in the above content, a financial certificate storage and recording method in standard cost accounting proposed in an embodiment of the present application, as shown in fig. 1, includes:
step 2, scanning the obtained paper financial voucher generated by single operation in the construction project to obtain a financial voucher picture;
step 3, zooming the financial voucher picture based on the resolution ratio of the financial voucher picture to the processed financial voucher template, and blocking the zoomed financial voucher picture by combining the positioning characteristic symbol to obtain a financial voucher image block which contains the money category and the single operation number as a naming index;
and 4, extracting the money number in each financial certificate image block, modifying the naming index of each financial certificate image block by the obtained money number, and storing the obtained financial certificate image blocks in a classified manner according to the modified naming index.
In implementation, in order to implement the desired image blocking operation, the financial voucher template needs to be constructed in advance. Different from templates used in other technologies, the financial voucher template provided by the present application includes positioning features corresponding to different areas, and the positioning features are used as references for partitioning a financial voucher picture in subsequent steps, where the positioning features are shown as dashed boxes in fig. 2.
Different from the prior art that lines with approximate functions such as cutting lines, dividing lines, sealing lines and the like are established in a template file in advance, the positioning feature provided by the embodiment of the application can perform dynamic secondary combination according to whether the meanings of keywords in the financial voucher template are of the same or similar types, and aims to perform image blocking processing on data representing the same or similar types together and avoid data fragmentation after excessive blocking.
Specifically, the specific steps of constructing the financial document template in step 1 include:
s11, acquiring a general financial voucher template;
s12, performing area division on the general financial voucher template according to the meanings of different area representations to obtain an area unit with a positioning feature symbol;
and S13, judging whether the area unit combination is carried out according to the meaning of the keywords in the adjacent area units, and dividing the table frame line of the combined area unit according to the character length of the keywords to obtain the positioning characteristic character expressed by the divided dotted line.
In practice, in order to cover as many data processing categories as possible, a generic financial voucher template needs to be acquired. Because the general financial voucher template comprises different types of areas such as expense categories, expense amounts, account reporting dates and the like, the general financial voucher template is divided into areas according to the meanings of different area representations, and the obtained edge of each area is marked with a positioning characteristic symbol.
In the process of carrying out region division in the general financial voucher template, firstly, the minimum region in the general financial voucher template is divided into region units. Considering that the data types with similar meanings are often adjacent in position in the template, on the basis of obtaining the region units, judging whether the adjacent region units need to be merged or not based on the extracted keywords indicating the data types or the data meanings in each region unit.
The adjacent area unit combination is carried out, so that the number of the image blocks can be reduced when the subsequent financial certificate image blocks are stored and single kind of data accounting is facilitated, the number of the required image blocks is reduced when the data accounting is facilitated, and the financial accounting efficiency is improved.
If some adjacent area units are merged, the merged area units are fused with the positioning features, that is, the respective positioning features of the original area units are deleted, and the positioning features for indicating the area edges are added on the inner side of the final area unit edges.
The specific contents of the area division and the positioning characteristic symbol marking include:
and S121, adding a positioning characteristic symbol for indicating the region edge inside the region unit edge.
It should be noted that the added location features are located inside the finally obtained region unit edge, so as to avoid the situation that the image block division is performed according to the location features due to fusion with the location features of other region units or due to too small distance.
In order to perform the operation of drawing a new location feature after merging the neighboring area units, that is, the specific content of the foregoing step S121 includes:
s1211, obtaining a final table frame line of the area unit edge;
s1212, zooming the table frame line by a preset distance along the center direction of the edge of the area unit;
s1213, dividing the scaled table frame line according to the character length of the keyword of the merged area unit, and only keeping the line segment at the corner of the area unit as the positioning characteristic symbol.
In the implementation, the table frame line of the final area unit edge after the combination is obtained, and then the direction pointing to the center of the area unit edge is selected to zoom the table frame line, and the zooming displacement is the preset distance. The scaling here corresponds to the "adding a locating feature to indicate the region edge inside the final region unit edge" in the foregoing. But the scaled table outline at this time is not the final locating feature. As shown in fig. 3, the outer solid line box represents the original table frame line of the area unit edge, the inner dotted line is the scaled table frame line, and the distance between the two is the scaling displacement.
And extracting the character length of the keywords of the merged region unit, and dividing the scaled table frame line by taking the obtained character length as a unit to obtain the positioning characteristic character expressed by the divided dotted line.
The table frame line is cut by the character length, and the character length of the keywords in different area units is considered to be different, so that the line segments obtained by cutting the table frame line based on the character length are different relative to other area units, the obtained positioning characteristic characters show the difference, and the purpose of preventing confusion is achieved.
In order to prevent the excessive positioning features from adversely affecting the overall picture representation of the universal financial voucher template, typically only the table frame lines located at the corners of the area units are reserved as the positioning features, and the final form of the positioning features is shown in fig. 4.
The mode of obtaining the financial certificate picture in the step 2 is common scanning and photographing operation, and is not described herein again.
After the financial certificate picture is obtained, performing image block division operation on the financial certificate picture based on the financial certificate template, namely step 3 specifically comprises:
s31, respectively obtaining the pixel values of the financial voucher picture and the financial voucher template, and determining the scaling according to the ratio of the pixel values of the financial voucher picture and the financial voucher template;
s32, zooming the financial voucher picture based on the obtained zooming proportion;
s33, extracting the single job number in the zoomed financial voucher picture;
s34, determining the position of each positioning characteristic character in the financial voucher template;
s35, extending the line segments in each positioning feature to obtain a closed interval surrounded by the extension lines, wherein the local financial voucher picture contained in each closed interval is the obtained block;
and S36, extracting the money category key words in each block and combining the obtained single-time operation numbers to construct the naming indexes of the obtained blocks.
In the implementation, the image block division operation on the financial certificate picture in the step is based on the fact that the size of the financial certificate template is consistent with that of the financial certificate picture, and the size of the financial certificate template is different from that of the financial certificate picture, so that the financial certificate picture is difficult to be absolutely consistent, and therefore the financial certificate picture needs to be zoomed.
The operation here corresponds to steps S31-S32, the key point being to calculate the scaling based on the pixel values of the financial document picture and the financial document template. Since the financial document image to be processed is consistent with the preset financial document template in length-width ratio, the scaling operation can be completed only by scaling the financial document in proper ratio, for example, as shown in fig. 5. The solid peripheral line box represents the financial voucher picture to be zoomed, the internal shadow represents the financial voucher template, and the arrows at the four corners represent the direction in which the financial voucher picture needs to be zoomed.
After the scaling is completed, the financial voucher picture of the corresponding area can be segmented by each positioning feature in the financial voucher template. In order to ensure the accuracy of the segmentation, each positioning feature needs to be extended before the segmentation to obtain a closed region surrounded by extension lines, a local financial certificate picture in the closed region is an obtained image block, and the financial certificate picture with the closed region is shown in fig. 6.
In order to facilitate classified storage of the obtained image blocks, the name index of the obtained blocks can be constructed by extracting the money category keywords in each block and combining the obtained single-time operation numbers. For example, the "amount of charge" or "amount" in the block is extracted as the naming index of the current block, so that the blocks belonging to the same class are sorted and stored. When the cost accounting is needed, the same type of blocks can be directly selected to conduct single type of data accounting without acquiring a complete financial voucher picture, and therefore the data accounting efficiency is improved.
In addition, in view of the problem that the index name is similar or multiple types of indexes are the same in the process of building the block index, and in order to avoid the problem that the subsequent checking process is disturbed by the similar situation, the embodiment further proposes a processing manner of naming the index in combination with the single job number, that is, step S36 specifically includes:
s361, obtaining the money category keywords in the obtained blocks based on an image recognition algorithm;
and S362, extracting the Chinese pinyin initials of the money category keywords, connecting the obtained letter abbreviations to the obtained single-operation numbers, and forming the naming indexes corresponding to the obtained blocks.
For example, if the keyword for extracting the money category is "equipment maintenance", the name index "maintenance 0001-SBWX" is formed after the keyword chinese pinyin initial "SBWX" is connected to the single-job number "maintenance 0001" included in the current financial voucher picture, thereby achieving the purpose of index differentiation.
In further consideration of the purpose of increasing the differentiation of multiple pictures in the same index category, the embodiment of the present application further provides a scheme of adding the number in the obtained partition to the index, that is, step 4 includes:
in one aspect, the step S41 can be executed to directly connect the obtained money number to the obtained naming index, and then obtain the modified naming index. Such as "repair amount-60049", or a hierarchical progressive index of "repair amount-parts replacement-engine-5880". The method can directly embody the contents such as the category of the money in the sub-blocks in the index, and is visual.
On the other hand, step S42 may be further executed to perform character extraction of a specific location on the obtained naming index based on the money number, so as to obtain a modified naming index.
In this way, if the meaning of the index itself cannot be reflected even if the name of a single term in the index is too long or the naming mode of the index is too complicated, and the index name of the index that is too long occupies too large storage resources, step S421 needs to be executed to compress the index that is too long at this time.
For example, the sum of money is 65536, and is divided by the digit number 5 to obtain the remainder 1, i.e. the characters in the 1 st, 11 st and 21 st digits in the index are taken as the modified naming index.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. The financial certificate storage and recording method in standard cost accounting is characterized by comprising the following steps:
step 1, constructing a financial voucher template which is used for standard cost accounting and contains a positioning characteristic symbol, and merging area units in the financial voucher template based on keyword meaning similarity to obtain a processed financial voucher template;
step 2, scanning the obtained paper financial voucher generated by single operation in the construction project to obtain a financial voucher picture;
step 3, zooming the financial voucher image based on the pixel value ratio of the financial voucher image to the processed financial voucher template, and blocking the zoomed financial voucher image by combining the positioning characteristic symbol to obtain a financial voucher image block which contains the money category and the single-operation number as the naming index;
and 4, extracting the money number in each financial certificate image block, modifying the naming index of each financial certificate image block by the obtained money number, and storing the obtained financial certificate image blocks in a classified manner according to the modified naming index.
2. The method for storing and recording financial certificates in standard cost accounting according to claim 1, wherein the step 1 comprises the following steps:
s11, acquiring a general financial voucher template;
s12, performing area division on the general financial voucher template according to the meanings of different area representations to obtain an area unit with a positioning feature symbol;
and S13, judging whether the area unit combination is carried out according to the meaning of the keywords in the adjacent area units, and dividing the table frame line of the combined area unit according to the character length of the keywords to obtain the positioning characteristic character expressed by the divided dotted line.
3. The method for financial certificate storage recording in standard cost accounting according to claim 2, wherein said S12 comprises:
and S121, adding a positioning characteristic symbol for indicating the region edge inside the region unit edge.
4. The method for storing and recording financial certificates in standard cost accounting according to claim 3, wherein said S121 comprises:
s1211, obtaining a final table frame line of the area unit edge;
s1212, zooming the table frame line by a preset distance along the center direction of the edge of the area unit;
s1213, dividing the scaled table frame line according to the character length of the keyword of the merged area unit, and only keeping the line segment at the corner of the area unit as the positioning characteristic symbol.
5. The method for storing and recording financial certificates in standard cost accounting according to claim 1, wherein the step 3 comprises the following steps:
s31, respectively obtaining the pixel values of the financial voucher picture and the financial voucher template, and determining the scaling according to the ratio of the pixel values of the financial voucher picture and the financial voucher template;
s32, zooming the financial voucher picture based on the obtained zooming proportion;
s33, extracting the single job number in the zoomed financial voucher picture;
s34, determining the position of each positioning characteristic character in the financial voucher template;
s35, extending the line segments in each positioning feature to obtain a closed interval surrounded by the extension lines, wherein the local financial voucher picture contained in each closed interval is the obtained block;
and S36, extracting the money category key words in each block and combining the obtained single-time operation numbers to construct the naming indexes of the obtained blocks.
6. The method for financial certificate storage recording in standard cost accounting according to claim 5, wherein said S36 comprises:
s361, obtaining the money category keywords in the obtained blocks based on an image recognition algorithm;
and S362, extracting the Chinese pinyin initials of the money category keywords, connecting the obtained letter abbreviations to the obtained single-operation numbers, and forming the naming indexes corresponding to the obtained blocks.
7. The method for storing and recording financial certificates in standard cost accounting according to claim 1, wherein the step 4 comprises the following steps:
and S41, connecting the obtained money number with the obtained naming index to obtain a modified naming index.
8. The method for storing and recording financial certificates in standard cost accounting according to claim 1, wherein the step 4 comprises the following steps:
and S42, extracting the characters at specific positions of the obtained naming index based on the money number to obtain the modified naming index.
9. The method for financial document storage and recording in standard cost accounting according to claim 8, wherein said S42 comprises:
s421, performing mathematical operation on the item numbers, and extracting characters at specific positions from the obtained naming indexes according to the operation result.
10. The method of claim 9, wherein the mathematical operations comprise:
and (5) performing remainder operation.
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| 孙颖异: "基于深度学习的智能财务报销***方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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