CN110705515A - Hospital paper archive filing method and system based on OCR character recognition - Google Patents
Hospital paper archive filing method and system based on OCR character recognition Download PDFInfo
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- CN110705515A CN110705515A CN201910992909.2A CN201910992909A CN110705515A CN 110705515 A CN110705515 A CN 110705515A CN 201910992909 A CN201910992909 A CN 201910992909A CN 110705515 A CN110705515 A CN 110705515A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012795 verification Methods 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000013527 convolutional neural network Methods 0.000 claims description 3
- 238000003909 pattern recognition Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000000474 nursing effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/414—Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/93—Document management systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/412—Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Abstract
The invention discloses a hospital paper archive filing method and system based on OCR character recognition, and belongs to the technical field of pattern recognition. The invention relates to a hospital paper archive filing method based on OCR character recognition, which comprises the steps of establishing a keyword dictionary base, scanning a paper archive, positioning and dividing characters of a scanned part, recognizing keywords in the archive, recognizing the type of the archive according to the head title of the archive, distinguishing the type of the archive, further recognizing predefined important fields, recognizing data and inputting the data into the database. The hospital paper archive filing method based on OCR character recognition can save time and labor cost, realizes hospital paper archive entry into a database in an efficient and excellent mode, and has good popularization and application values.
Description
Technical Field
The invention relates to the technical field of pattern recognition, and particularly provides a hospital paper archive filing method and system based on OCR character recognition.
Background
With the continuous maturity of deep learning technology, the accuracy of character recognition also reaches the standards of industrial application and commercial application, and at present, the character recognition is widely applied to the scenes of license plate number recognition, identity card recognition, express address recognition and the like, so that the efficiency of the activities is greatly improved, and more applications select character recognition to reduce the pressure of workers and save the cost.
Although the informatization level of hospitals is greatly improved at present, the establishment of electronic files is particularly carried out. With archives information datamation, not only convenient the saving reads more conveniently moreover, but some archives information need be followed paper archives and type into the database, and whole typing process still is in the manual work at present and types into the stage.
As is well known, in the practical application, the types of hospital archives are from daily nursing information to surgical information, and are various, the paper archives generated in a hospital within one day are a very large number, the archives information independently input into each post is also a very time-consuming work, and when the paper archives are subjected to datamation filing, manual input is mainly used, so that the labor cost is high, and the efficiency is low. In order to save time and labor cost, it is necessary for hospitals to introduce means for entering paper files by character recognition.
Disclosure of Invention
The technical task of the invention is to provide a hospital paper archive filing method based on OCR character recognition, which can save time and labor cost and realize the entry of the hospital paper archive into a database in an efficient and excellent mode, aiming at the problems.
The invention further provides a hospital paper archive filing system based on OCR character recognition.
In order to achieve the purpose, the invention provides the following technical scheme:
a hospital paper archive filing method based on OCR character recognition is characterized by establishing a keyword dictionary base, scanning paper archives, positioning and segmenting characters of scanned files, recognizing keywords in the archives, recognizing archive types according to head titles of the archives, distinguishing archive types, further recognizing predefined important fields, recognizing data and inputting the data into the database.
The hospital paper archive filing method based on OCR character recognition saves time and labor cost for the hospital paper archive filing process, and can greatly improve the efficiency and accuracy of paper archive filing.
Preferably, the hospital paper archive filing method based on OCR character recognition specifically comprises the following steps:
s1, establishing a keyword dictionary base to establish a file information specification;
s2, scanning the paper file, recording the paper file into a storage system, and preprocessing the scanned file;
s3, positioning and dividing characters, and cutting the scanned file of the hospital file into single character pictures by utilizing horizontal projection and vertical projection;
s4, identifying key fields and checking the content;
and S5, recording the acquired content into a database for storage.
Preferably, the profile information specification includes an indication of whether an archive header name, a key field name, and a check box for the classification of the archive are checked, where check is represented by √ as a.
Preferably, when the paper archive is scanned, the paper archive is recorded into a computer system, the format of the scanned file is jpg, and the scanned file is preprocessed to remove noise and correct the direction of the text.
Preferably, when characters are positioned and divided, file header names are separately divided for files of table types by horizontal projection and vertical projection, a table part is divided into cells, and then the single character pictures are divided by dividing cell texts by horizontal projection and vertical projection; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
Preferably, the key field identification and content verification comprises the following processes:
1) training a character recognition model through a deep learning convolutional neural network;
2) inputting the cut single-character picture into a model for recognition;
3) for the form type file, performing lexical analysis on the identified content, comparing the lexical analysis with keywords in a dictionary, associating texts in corresponding cells with the keywords, using map by default, checking the content with a fixed format, and rejecting the file if the content is not standard;
4) and for the text type file, performing lexical analysis on the identified content, comparing the lexical analysis with keywords in a dictionary, associating the content behind the lexical analysis with the keywords, taking a fixed format or distinguishing through fonts for content information, checking the content with the fixed format, and rejecting the file if the content is not standardized.
The utility model provides a hospital paper archives system of filing based on OCR characters discernment, includes keyword field establishment module, paper archives scanning module, characters location and cut apart module, keyword field discernment and content verification module and data storage module:
the keyword field establishing module is used for establishing a keyword dictionary library to establish file information specifications;
the paper archive scanning module is responsible for recording paper archives into the storage system and preprocessing the scanned files;
the character positioning and dividing module is used for cutting the scanned file of the hospital file into single character pictures by utilizing horizontal projection and vertical projection;
the key field identification and content verification module is used for identifying the key field and verifying the content;
the data storage module is used for recording the acquired content into a database for storage.
Preferably, the keyword field creation module creates a profile information specification including an indication of whether an archive file header name, a keyword field name, and a check box for the classification of the archive file are checked, wherein check is indicated by √ g.
Preferably, the paper archive scanning module records the paper archive into the computer system when the paper archive is scanned, the scanning file format is jpg, and the scanning file is preprocessed to remove noise and correct the text direction.
Preferably, when the character positioning and dividing module is used for positioning and dividing characters, file header names are separately divided for files of table types by using horizontal projection and vertical projection, a table part is divided into cells, and then the cell texts are divided by using the horizontal projection and the vertical projection to divide single character pictures; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
Compared with the prior art, the hospital paper archive filing method based on OCR character recognition has the following outstanding beneficial effects: the hospital paper archive filing method based on OCR character recognition saves time and labor cost for the hospital paper archive filing process, can greatly improve the efficiency and accuracy of paper archive filing, and has good popularization and application values.
Detailed Description
The method and system for archiving paper archives of hospital based on OCR character recognition of the present invention will be further described in detail with reference to the following embodiments.
Examples
The invention relates to a hospital paper archive filing method based on OCR character recognition, which comprises the steps of establishing a keyword dictionary base, scanning a paper archive, positioning and dividing characters of a scanned part, recognizing keywords in the archive, recognizing the type of the archive according to the head title of the archive, distinguishing the type of the archive, further recognizing predefined important fields, recognizing data and inputting the data into the database.
The hospital paper archive filing method based on OCR character recognition specifically comprises the following steps:
and S1, establishing a keyword dictionary base to establish the file information specification.
The build archive information specification includes an indication of whether the archive file header name, the key field name, and the check box for the archive file classification are checked, where checked is represented by √.
And S2, scanning the paper file, recording the paper file into a storage system, and preprocessing the scanned file.
When the paper archive is scanned, the paper archive is recorded into a computer system, the scanning file format is jpg, the scanning file is preprocessed, noise is removed, and the text direction is corrected.
And S3, positioning and dividing characters, and cutting the scanned file of the hospital file into single character pictures by utilizing horizontal projection and vertical projection.
When characters are positioned and divided, file header names of files in a form type are separately divided by utilizing horizontal projection and vertical projection, a form part is divided into cells, and then a cell text is divided by utilizing the horizontal projection and the vertical projection to divide a single character picture; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
And S4, verifying key field identification and content.
The method comprises the following steps:
1) training a character recognition model through a deep learning convolutional neural network;
2) inputting the cut single-character picture into a model for recognition;
3) for the form type file, performing lexical analysis on the identified content, comparing the lexical analysis with keywords in a dictionary, associating texts in corresponding cells with the keywords, using map by default, checking the content with a fixed format, and rejecting the file if the content is not standard;
4) and for the text type file, performing lexical analysis on the identified content, comparing the lexical analysis with keywords in a dictionary, associating the content behind the lexical analysis with the keywords, taking a fixed format or distinguishing through fonts for content information, checking the content with the fixed format, and rejecting the file if the content is not standardized.
And S5, recording the acquired content into a database for storage.
The invention discloses a hospital paper archive filing system based on OCR character recognition, which comprises a keyword field establishing module, a paper archive scanning module, a character positioning and dividing module, a keyword field recognition and content verification module and a data storage module.
The keyword field establishing module is used for establishing a keyword dictionary base to establish file information specifications.
The key field creation module creates a profile information specification including a profile header name for the profile classification, a key field name, and an indication of whether a check box is checked, where check is indicated by √ as a check.
And the paper archive scanning module is responsible for recording the paper archive into the storage system and preprocessing the scanned file.
When the paper archives are scanned, the paper archives are recorded into a computer system by the paper archives scanning module, the scanning file format is jpg, the scanning file is preprocessed, and noise and text direction correction are removed.
And the character positioning and dividing module is responsible for cutting the scanned file of the hospital archive into single character pictures by utilizing horizontal projection and vertical projection.
When the character positioning and dividing module is used for positioning and dividing characters, file header names are separately divided for files of table types by using horizontal projection and vertical projection, a table part is divided into cells, and then the cell texts are divided by using the horizontal projection and the vertical projection to divide single character pictures; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
And the key field identification and content verification module is used for identifying the key field and verifying the content.
The data storage module is used for recording the acquired content into a database for storage.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (10)
1. A hospital paper archive filing method based on OCR character recognition is characterized in that: establishing a keyword dictionary base, scanning paper archives, positioning and segmenting characters of scanned files, identifying keywords in the archives, identifying the types of the archives according to head titles of the archives, distinguishing the types of the archives, further identifying predefined important fields, identifying data and inputting the data into the database.
2. The hospital paper archive filing method based on OCR character recognition as recited in claim 1, wherein: the method specifically comprises the following steps:
s1, establishing a keyword dictionary base to establish a file information specification;
s2, scanning the paper file, recording the paper file into a storage system, and preprocessing the scanned file;
s3, positioning and dividing characters, and cutting the scanned file of the hospital file into single character pictures by utilizing horizontal projection and vertical projection;
s4, identifying key fields and checking the content;
and S5, recording the acquired content into a database for storage.
3. The hospital paper archive filing method based on OCR character recognition as recited in claim 2, wherein: the create profile information specification includes an indication of whether a profile header name, a key field name, and a check box for a profile category are checked.
4. The hospital paper archive filing method based on OCR character recognition as recited in claim 3, wherein: when the paper archive is scanned, the paper archive is recorded into a computer system, the scanning file format is jpg, the scanning file is preprocessed, noise is removed, and the text direction is corrected.
5. The hospital paper archive filing method based on OCR character recognition according to claim 4, characterized in that: when characters are positioned and divided, file header names of files in a form type are separately divided by utilizing horizontal projection and vertical projection, a form part is divided into cells, and then a cell text is divided by utilizing the horizontal projection and the vertical projection to divide a single character picture; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
6. The hospital paper archive filing method based on OCR character recognition as recited in claim 5, wherein: the key field identification and content verification comprises the following processes:
1) training a character recognition model through a deep learning convolutional neural network;
2) inputting the cut single-character picture into a model for recognition;
3) for the form type file, performing lexical analysis on the identified content, comparing the lexical analysis with keywords in a dictionary, and associating texts in corresponding cells with the keywords;
4) and for the text type file, performing lexical analysis on the identified content, comparing the lexical analysis with the keywords in the dictionary, associating the content behind the lexical analysis with the keywords, and distinguishing content information in a fixed format or by fonts.
7. The utility model provides a hospital paper archives system of filing based on OCR characters discernment which characterized in that: the system comprises a keyword field establishing module, a paper archive scanning module, a character positioning and segmenting module, a keyword field identification and content verification module and a data storage module:
the keyword field establishing module is used for establishing a keyword dictionary library to establish file information specifications;
the paper archive scanning module is responsible for recording paper archives into the storage system and preprocessing the scanned files;
the character positioning and dividing module is used for cutting the scanned file of the hospital file into single character pictures by utilizing horizontal projection and vertical projection;
the key field identification and content verification module is used for identifying the key field and verifying the content;
the data storage module is used for recording the acquired content into a database for storage.
8. An OCR character recognition based hospital paper archive filing system according to claim 7, characterized in that: the keyword field establishing module establishes a file information specification which comprises a file head name used for file classification, a keyword field name and an indication whether a check box is selected or not.
9. An OCR character recognition based hospital paper archive filing system according to claim 8, characterized in that: when the paper archives are scanned, the paper archives are recorded into a computer system by the paper archives scanning module, the scanning file format is jpg, the scanning file is preprocessed, and noise and text direction correction are removed.
10. An OCR character recognition based hospital paper archive filing system according to claim 9, characterized in that: when the character positioning and dividing module is used for positioning and dividing characters, file header names are separately divided for files of table types by using horizontal projection and vertical projection, a table part is divided into cells, and then the cell texts are divided by using the horizontal projection and the vertical projection to divide single character pictures; for a text-type archive, the scanned file is cut into single-character pictures by using horizontal projection and vertical projection.
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Cited By (10)
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| CN111405138A (en) * | 2020-03-15 | 2020-07-10 | 上海派申网络技术有限公司 | Cross-border electric commercial file scanning automatic filing equipment |
| CN111860524A (en) * | 2020-07-28 | 2020-10-30 | 上海兑观信息科技技术有限公司 | Intelligent classification device and method for digital files |
| CN112052749A (en) * | 2020-08-20 | 2020-12-08 | 中国建设银行股份有限公司 | Archive filing method and device, electronic equipment and computer readable storage medium |
| CN112686262A (en) * | 2020-12-28 | 2021-04-20 | 广州博士信息技术研究院有限公司 | Method for extracting structured data and rapidly archiving handbooks based on image recognition technology |
| CN112766266A (en) * | 2021-01-29 | 2021-05-07 | 云从科技集团股份有限公司 | Text direction correction method, system and device based on staged probability statistics |
| CN112836073A (en) * | 2021-02-02 | 2021-05-25 | 嘉应学院 | Historical literature digitization method, system, device and storage medium |
| CN113342883A (en) * | 2021-05-25 | 2021-09-03 | 国网上海市电力公司 | Power equipment detection data structuring method, device, medium and equipment |
| CN115019326A (en) * | 2022-08-02 | 2022-09-06 | 北京杭升科技有限公司 | Archive recording system, method, device and storage medium |
| CN115101186A (en) * | 2022-07-25 | 2022-09-23 | 武汉大学人民医院（湖北省人民医院） | Hospital treatment information management method and device based on big data |
| CN115794496A (en) * | 2023-02-07 | 2023-03-14 | 中信天津金融科技服务有限公司 | Archive storage method and system based on information extraction |
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| CN111405138B (en) * | 2020-03-15 | 2022-02-01 | 上海派申网络技术有限公司 | Cross-border electric commercial file scanning automatic filing equipment |
| CN111405138A (en) * | 2020-03-15 | 2020-07-10 | 上海派申网络技术有限公司 | Cross-border electric commercial file scanning automatic filing equipment |
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| CN112052749A (en) * | 2020-08-20 | 2020-12-08 | 中国建设银行股份有限公司 | Archive filing method and device, electronic equipment and computer readable storage medium |
| CN112686262A (en) * | 2020-12-28 | 2021-04-20 | 广州博士信息技术研究院有限公司 | Method for extracting structured data and rapidly archiving handbooks based on image recognition technology |
| CN112766266A (en) * | 2021-01-29 | 2021-05-07 | 云从科技集团股份有限公司 | Text direction correction method, system and device based on staged probability statistics |
| CN112836073A (en) * | 2021-02-02 | 2021-05-25 | 嘉应学院 | Historical literature digitization method, system, device and storage medium |
| CN113342883A (en) * | 2021-05-25 | 2021-09-03 | 国网上海市电力公司 | Power equipment detection data structuring method, device, medium and equipment |
| CN115101186A (en) * | 2022-07-25 | 2022-09-23 | 武汉大学人民医院（湖北省人民医院） | Hospital treatment information management method and device based on big data |
| CN115101186B (en) * | 2022-07-25 | 2022-11-08 | 武汉大学人民医院（湖北省人民医院） | Hospital treatment information management method and device based on big data |
| CN115019326A (en) * | 2022-08-02 | 2022-09-06 | 北京杭升科技有限公司 | Archive recording system, method, device and storage medium |
| CN115019326B (en) * | 2022-08-02 | 2023-08-22 | 北京杭升科技有限公司 | File entry system, method, device and storage medium |
| CN115794496A (en) * | 2023-02-07 | 2023-03-14 | 中信天津金融科技服务有限公司 | Archive storage method and system based on information extraction |
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