TWM602240U - Suspected money laundering transaction report conversion system - Google Patents

Abstract

This creation discloses a suspected money laundering transaction report conversion system, which includes an identification module, an acquisition module, and a processing module. The recognition module recognizes characters in the word processing document to generate a recognition result. The capture module captures at least one character in the word processing document according to the recognition result. The processing module converts the word processing document into a webpage format document, wherein the webpage format document includes at least one character in the word processing document extracted by the extraction module.

Description

Suspected money laundering transaction report conversion system

This creation is about a file conversion system, especially a file conversion system for suspected money laundering transaction reports.

At present, electronic operations are popular, and various jobs in all walks of life have been electronically operated, but in the process of electronic operations, manual input operations are performed on text files.

In addition, in electronic reporting operations, there is usually an electronic reporting program, and there are many forms in the electronic reporting program that must be entered manually, that is to say, in addition to the manual input on the text file In addition to the operation, the same data content must be correspondingly input into the form of the electronic reporting operation program.

However, due to the large and complex data to be entered, if each item of data is manually entered and the same data is correspondingly entered into the form of the electronic reporting operation program, it will consume a lot of time and manpower, and there is also data input The possibility of error. Although some electronic reporting programs currently accept the import of files in a specific format to automatically fill in the corresponding forms, the current electronic reporting programs can accept imported file formats that are not generally available for manual input. Text file.

Accordingly, providing a file conversion system for suspected money laundering transaction reports to convert text files that can be manually input into files in a specific format acceptable to the electronic reporting operating program has become an urgent research topic.

In view of the above-mentioned problems, this creation discloses a suspected money laundering transaction report conversion system, which includes an identification module, an acquisition module, and a processing module. The recognition module recognizes characters in a word processing document to generate a recognition result. The capture module captures at least one character in the word processing document according to the recognition result. The processing module converts the word processing document into a webpage format document, wherein the webpage format document includes at least one character in the word processing document extracted by the extraction module.

Based on the above, this authoring suspected money laundering transaction report conversion system uses flexibility, unlimited data input sequence, unlimited data input type, unlimited data input number, unlimited data retrieval function, and retrieves documents. After the characters needed in the document are processed, they are converted into a web page format file, thus saving the time of manual re-input to the web page format file, improving work efficiency, and further avoiding data input errors.

Please refer to Figure 1, which is a block diagram of the conversion system for creating suspected money laundering transaction reports. The suspected money laundering transaction report conversion system 1 includes an identification module 11, an capture module 12 and a processing module 13. The recognition module 11 recognizes characters in the word processing document to generate a recognition result. The capture module 12 captures at least one character in the word processing document according to the recognition result. The processing module 13 converts the word processing document into a webpage format document, where the webpage format document includes at least one character in the word processing document extracted by the extraction module.

In an embodiment of the present creation, the word processing document includes the word processing document of Microsoft Office software, and the web page format document includes Extensible Markup Language (XML) documents and HyperText Markup Language (HTML) However, this creation is not limited to this, but any software text that requires text input and processing is indirectly included in the scope of this creation.

Please refer to Figure 2A and Figure 2B, which are the schematic diagram of the word processing file and the schematic diagram of the webpage format file for the creation of the suspected money laundering transaction report conversion system. In the embodiment of FIG. 2A, taking the Microsoft Office Word word processing document as an example, when the user finishes inputting the data in each field (1) ~ (10) of the Word document form, he wants to convert the file format of the Word document to that of FIG. 2B In the case of the document format of the extensible markup language, since the document of the extensible markup language in Figure 2B is a form document, that is, except for the fields (1) name/corporate group name, field (2) birthday /Registration date... Column (10) has not yet filled in the nationality data, the rest of the fields have been made into a standard form and do not need to be filled in. Therefore, with this creation of the suspected money laundering transaction report conversion system 1, the number, text, and colon of each field in the Word document processing document are set as the default text, for example, the field (1) name/corporate name and The colon is set as the default text, and so on, the recognition module 11 recognizes at least one character in the field after the default text, and stops the recognition after the termination character is recognized.

Furthermore, when the data to be recognized includes multiple character data, a cutting symbol can be set between each character data to facilitate the recognition by the recognition module 11. The recognition module 11 recognizes characters according to the start symbol, the cut symbol, and the end symbol. The start symbol includes the number, text, or colon of each field in the word processing document, the cutting symbol includes a pound sign, exclamation mark, or other symbols that can be distinguished from ordinary characters, and the termination symbol includes the number and text of each field. After the recognition module 11 recognizes the start symbol, the capturing module 12 captures the characters between the start symbol and the end symbol. If at least one cutting symbol is included between the start symbol and the end symbol, the capturing module 12 cuts the captured characters into a plurality of strings according to the at least one cutting symbol.

Take the table in Figure 2A as an example, when the recognition module 11 recognizes the start symbol "(1) name/corporate name:" and the end symbol "(2) birthday/registered date:", the module is captured 12 extracts at least one character between the start symbol and the end symbol, and therefore extracts complex numbers such as "甲XX#乙有限公司#丙XX". Furthermore, since the complex number element captured by the capture module 12 contains the cutting symbol of the hash mark, the capture module 12 cuts the captured complex number element into "甲XX" according to the cutting symbol "#" "", "B Limited", "PPXX", etc. The processing module 13 corresponds to the first frame F1, the second frame F2, and the third frame (not shown in the figure) in the webpage format file of FIG. 2B corresponding to the complex number string captured by the capture module 12 ) In the name/corporate name field, and so on.

Similarly, taking the field (2) birthday/register date in Figure 2A as an example, when the recognition module 11 recognizes the start symbol "(2) name/corporate name:" and the end symbol "(3) type: ", the capture module 12 captures at least one character between the start symbol and the end symbol, so it captures "78/01/01#102/01/02#57/01/03" etc. Complex number yuan. Furthermore, since the complex digital element captured by the capturing module 12 contains a cutting symbol, the capturing module 12 cuts the captured complex digital element into "78/01/01" according to the cutting symbol "#" , "102/01/02", "57/01/03", etc. multiple strings. The processing module 13 correspondingly converts the first frame F1, the second frame F2, and the third frame (not shown in the figure) in the webpage format file of FIG. 2B corresponding to the complex number string captured by the capture module 12 in sequence. (Show) in the field of birthday registration date, and so on. It should be noted that the birthday year has been automatically converted from the Republic of China year to the Western Yuan year through a computer program.

Furthermore, taking the field (10) nationality in Figure 2A as an example, only the characters of the number 0 are filled in the field. Therefore, the identification module 11 uses "field (10) nationality:" as the starting point of identification Symbol and use "0: natives; 1: foreigners with residence permit; 2: foreigners without residence permit" as the identification termination symbol, so the extraction module 12 only captures the characters "0", but According to the column (1) Name/Name of Consortium in Figure 2A, the form in Figure 2A should have at least three pieces of information, corresponding to "AXX", "B Co., Ltd.", and "CXX". Therefore, in this embodiment, although the recognition module 11 only reads the character "0", and does not read the cut character, it cuts it into multiple strings, but the processing module 13 knows according to the previous field There should be three pieces of data, so the processing module 13 will directly input the read character "0" into the corresponding areas of the three pieces of data. For example, the processing module will respond to the character "0" captured by the capture module 12. "Correspond to the conversion input into the nationality field in the first frame F1, the second frame F2, and the third frame (not shown) in the webpage format file in Figure 2B, and so on. In other words, because the number (10) nationality field in Figure 2A only fills in a number 0, but according to the number (1) name/corporate body name field, the input is filled with "AXX", "B "Company" and "CXX" characters, so actually you should fill in 3 corresponding numbers (1) name/corporate body name field nationality numbers, but in this creation of suspected money laundering transaction report conversion system automatically Convert a nationality number 0 to three repeated zeros, that is, if the input is omitted, so that the amount of data in each field does not correspond to each other, the suspected money laundering transaction report conversion system will automatically repeat the same Into each frame of the file format of the extensible markup language in Figure 2B.

In addition, the blank fields in the Word document of FIG. 2A corresponding to the file format of the extensible markup language in FIG. 2B are still blank fields. The process of converting the characters in the remaining fields is as described above, and will not be repeated here.

Please refer to Figure 3A and Figure 3B, which are the schematic diagram of the transaction account table and the schematic diagram of the webpage format file for the creation of the suspected money laundering transaction report conversion system. In this embodiment, in order to save the time of manually repetitively inputting the corresponding input into the webpage format file, it is also possible to identify and retrieve the numbers in the transaction account form. As shown in Figure 3A, the manually entered data is the number after the OBU account field (1) and field (2), and the number after the DOM account field (1) and field (2). Therefore, by this Created a suspected money laundering transaction report conversion system, set "OBU account number: (1)" in the transaction account table as the start symbol and "(2)" as the termination symbol, and set "(2)" as The start symbol and the "DOM account number: (1)" are set as the end symbol. The recognition module 11 recognizes at least one character between the start symbol and the end symbol, and is captured by the capture module 12 At least one character between the start symbol and the end symbol, the processing module 13 correspondingly converts and inputs the character captured by the capturing module 12 into the frame of the webpage format document. In addition, the suspected money laundering transaction report conversion system created by this creation also sets "DOM account number: (1)" in the transaction account table as the start symbol and "(2)" as the termination symbol, and sets "(2) "" is set as the start symbol and "newline symbol" is set as the end symbol, the recognition module 11 recognizes at least one character between the start symbol and the end symbol, and the capture module 12 captures the start For at least one character between the symbol and the termination symbol, the processing module 13 correspondingly converts and inputs the character captured by the capturing module 12 into the frame of the web page format document.

Continuing from the above, in this embodiment, taking "OBU account number:" as an example, the identification module 11 recognizes the numbers after the brackets (1), and the subsequent numbers are captured by the capture module 12 and processed The module 13 is correspondingly input to the corresponding position in the first column L3 of the <transaction account number> OBU in FIG. 3B. Similarly, the number after the parentheses (2) of the OBU account number is captured by the recognition module 11 and captured by the recognition module 12, and then entered by the processing module 13 into the second column L4 of the OBU of FIG. 3B. Corresponding position in. The number after the brackets (1) of the DOM account number is captured by the recognition module 11 and captured by the recognition module 12, and then inputted by the processing module 13 to the corresponding one in the third column L5 of the DOM in Figure 3B. Location, the number after the brackets (2) of the DOM account is captured by the recognition module 11 and captured by the capturing module 12, and then correspondingly entered by the processing module 13 into the fourth column L6 of the DOM in Figure 3B. The corresponding position, and so on.

To sum up, this authoring suspected money laundering transaction report conversion system uses flexibility, unlimited data input sequence, unlimited data input type, unlimited data input number, unlimited data capture function to capture documents After the characters needed in the document are processed, they are converted into a web page format file, thus saving the time of manual re-input to the web page format file, improving work efficiency, and further avoiding data input errors.

1: Suspected money laundering transaction report conversion system 11: Identification module 12: Capture module 13: Processing module F1: sash F2: sash L1: field L2: field L3: field L4: field L5: field L6: field

Figure 1 is a block diagram of the system for creating suspected money laundering transaction report conversion; Figure 2A is a schematic diagram of the document processing file for this creation of the suspected money laundering transaction report conversion system; Figure 2B is a schematic diagram of the webpage format file for the creation of the suspected money laundering transaction report conversion system; Figure 3A is a schematic diagram of the transaction account table for the creation of the suspected money laundering transaction report conversion system; and Figure 3B is a schematic diagram of the webpage format file for the creation of the suspected money laundering transaction report conversion system.

1: Suspected money laundering transaction report conversion system

11: Identification module

12: Capture module

13: Processing module

Claims (7)

A file conversion system for suspected money laundering transaction reports, including: A recognition module, which recognizes at least one character in a word processing document to generate a recognition result; A retrieving module, retrieving the at least one character in the first word processing document according to the recognition result; and A processing module to convert the word processing document into a webpage format document; The webpage format file includes the at least one character in the word processing file captured by the capturing module. As described in claim 1, the suspected money laundering transaction report conversion system, wherein the word processing file includes the word processing file of Microsoft Office software. According to claim 1, the suspected money laundering transaction report conversion system, wherein the webpage format file includes an extensible markup language file. According to claim 1, the suspected money laundering transaction report conversion system, wherein the webpage format file includes a hypertext markup language file. The suspected money laundering transaction report conversion system according to claim 1, wherein the identification module identifies the at least one between the start symbol and the stop symbol according to a start symbol and a stop symbol in the word processing document Characters. According to the suspected money laundering transaction report conversion system of claim 5, when the identification module determines that at least one character between the start symbol and the end symbol contains at least one cutting symbol, the identification module is based on The cutting symbol cuts at least one character between the start symbol and the end symbol into a string of complex numbers; The webpage format file includes the character strings cut by the at least one character in the word processing file extracted by the capturing module. For example, the suspected money laundering transaction report conversion system according to any one of the request items 1 to 6, wherein the processing module inputs the at least one character extracted by the extraction module to a column corresponding to the webpage format document In place.

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