Automated Hierarchical Classification Of Scanned Documents

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Automated hierarchical classification of scanned documents

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The trial result of 200 new documents is 188 documents correctly classified and 12 documents incorrectly classified. The accuracy of automated hierarchical classification is 94%. Next, the search of classified scanned documents based on content can be developed.

Author: Rifiana Arief, Achmad Benny Mutiara, Tubagus Maulana Kusuma, Hustinawaty Hustinawaty
Publish Year: 2022

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(PDF) Hierarchical document classification using

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Download Free PDF. Hierarchical document classification using automatically generated hierarchy. Journal of Intelligent Information Systems, 2007 A short summary of this paper. 37 Full PDFs related to this paper. Read Paper. Hierarchical document classification using automatically generated hierarchy. Download. Related Papers. Text

Estimated Reading Time: 11 mins

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Automated Data Classification - Softworks AI

5 hours ago Softworksai.com Visit Site

The automated data classification software helps you: Reduce labor costs – Classify documents automatically to minimize human intervention and time sorting files. Classify various documents and complex files with ease – Process structured, semi-structured, and unstructured files and support scanned images, digital files, and complex hybrid

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Automated Document Classification & Indexing Software

6 hours ago Extractsystems.com Visit Site

Unique to Extract, our automated document classification & indexing solution can route specific document types to our data extraction solution. Extract is able to accurately identify and extract over 80% of the valuable data, which is currently being trapped inside documents. The verification process is supported by Extract's behind-the-scenes

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OCR Document Classification Automated - OCR Solutions

9 hours ago Ocrsolutions.com Visit Site

Automatic Document Classification Using an OCR Scanner & Software. Medical offices, law firms, and other professional enterprises use OCR software for automatic document classification. And companies now capture data from various unsorted documents by using OCR scanning. Find out more about this easy way to identify and sort groups of records.

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Automated Document Classification - bisok.com

3 hours ago Bisok.com Visit Site

Integrate Accurate Data More Quickly with Automated Document Classification and Separation. Nearly all data capture projects suffer because of challenging data sources. It doesn’t have to happen to you. You can easily use machine learning algorithms and rules-based logic to organize the chaos of semi-structured and unstructured documents.

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(PDF) Segmentation of Scanned Documents Using Deep

3 hours ago Researchgate.net Visit Site

Segmentation of scanned documents using deep-learning approach 3. The analysis of the literature shows, that many algorithms in volve image pre-. processing techniques (e.g. document

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Document Classification Using Python And Machine Learning

2 hours ago Digitalvidya.com Visit Site

Document Classification Using Python and Machine Learning. Document Classification or Document Categorization is a problem in information science or computer science. We assign a document to one or more classes or categories. This can be done either manually or using some algorithms. Manual Classification is also called intellectual

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Automatic document classification of biological literature

3 hours ago Ncbi.nlm.nih.gov Visit Site

Background. Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, a text-mining system for biological literature, which marks up full text according to a shallow ontology that includes terms of biological interest.

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Hierarchical Attention Networks for Document Classification

5 hours ago Microsoft.com Visit Site

tecture (x2), the Hierarchical Attention Network (HAN) that is designed to capture two basic insights about document structure. First, since documents have a hierarchical structure (words form sentences, sentencesformadocument),welikewiseconstructa document representation by rst building represen-tations of sentences and then aggregating those into

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Hierarchical Classification with Hierarchical Attention

2 hours ago Kdd.org Visit Site

hierarchical classification, hierarchical attention networks 1 INTRODUCTION Many different domains contain hierarchy of information that can be stored, in a data structure sense, as hierarchies (or taxonomies, another term we will use interchangeably), which are a good way to help organize vast amounts of information. In e-commerce, the

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Document Classification Software - Parascript

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Parascript Document Classification software provides key benefits for enhanced business processing: Accelerated Workflows at Lower Cost. Improve the customer experience and throughput rate of your classification-heavy processes without increasing costs. Compliance. Easily and comprehensively scan documents for any type of sensitive information.

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A hierarchical method for automated identification and

5 hours ago Researchgate.net Visit Site

In more generic tasks and applica- tions, hierarchical approaches including decomposition of features, as well as classifier combinations, are widely used in document classification nowadays [1].

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(PDF) Automatic Document Classification Using a Domain

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Automatic Document Classification Using a Domain Ontology Wijewickrema, P. K. C. M.1 [email protected] Gamage, R. C. G2 [email protected] 1. Main Library, Sabaragamuwa University of Sri Lanka, Belihul Oya 2. National Institute of Library & Information Sciences, University of Colombo, Colombo 07. Abstract Automatic classification has become an

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Hierarchical Classification of Web Content

3 hours ago Cs.ucdavis.edu Visit Site

the context of hierarchical classification. SVMs have been found to be more accurate for text classification than popular approaches like naïve Bayes, neural nets, and Rocchio [7, 12, 27]. We use a reduced-dimension binary-feature version of the SVM model that is very efficient for both initial learning and real-time classification, thus

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Hierarchical content classification and script

7 hours ago Sciencedirect.com Visit Site

Difference of average line widths (W).The regions R 1 and R 2 are divided by the chain C as shown in Fig. 3. The region R 1 and R 2 are scanned from each t-pixel x i to the border of the thinned image or a t-pixel. Fig. 4 shows the six possible scan directions of a t-pixel. In each scan line, we can find out the number of black pixels B R 1 (x i) and B R 2 (x i) in the region R 1 and R 2

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Automated Data Classification Tools & Automation Software

3 hours ago Boldonjames.com Visit Site

Automated Data Classification. Automated data classification involves the application of a classification for a particular file or message by a pre-defined rule set. The rule set might be based on matching keywords or expressions found in the content with a given list or identifying some other characteristic of the file for example, it came from the customer information data store so needs to

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Analysis and classification for complex scanned documents

4 hours ago Spie.org Visit Site

The algorithm achieves 78% classification accuracy in text regions while 22% are misclassified. Accurate classification rates for photo and background zones are 85% and 92%, respectively. The average execution time for scanned documents with size of about 3000×2000 pixels is 14 seconds running on a 2.4GHz dual core PC implemented in MATLAB 7

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Document Classification - ScanStore

7 hours ago Scanstore.com Visit Site

Some common Document Classification solutions we have implented are: Enterprise Digital Mailrooms: complete digitization of all documents in the organization, as described above.. Mortgage & Loan Processing: identify the hundreds of forms in a mortgage file to ensure all required documents are present, and to sort and export in pre-defined "stack orders" required by the banks.

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Text Document Classification - ERCIM

5 hours ago Ercim.eu Visit Site

Document classification appears in many applications, including e-mail filtering, mail routing, spam filtering, news monitoring, selective dissemination of information to information consumers, automated indexing of scientific articles, automated population of hierarchical catalogues of Web resources, identification of document genre

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Automated Data Entry and Document Classification - ABBYY

4 hours ago Abbyy.com Visit Site

By using sophisticated document analysis, FlexiCapture is able to detect the exact type of paper or digital documents (spreadsheets, images, logos, etc.) and different areas within a document, even when text appears unreadable. Word, Excel, PDF, email bodies, scanned images, and other digital documents can be processed in the same flow.

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Extract Data From Scanned Documents And Images - Docparser

5 hours ago Docparser.com Visit Site

Automated Data Extraction – This is the more efficient, modern, and preferred way of extracting data from scanned documents. Automated data entry solutions do a great job of reading scanned documents and images and then transferring that data into …

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US7039856B2 - Automatic document classification using text

8 hours ago Patents.google.com Visit Site

A method and apparatus for automatic document classification using text and images. The present invention provides a method and apparatus for automatic document classification based on text and image. A new document is analyzed based on textual content as well as visual appearance. The new document is automatically stored in one or more mirror directories in which the new document would …

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Document Classification - SimpleIndex

1 hours ago Simpleindex.com Visit Site

Document Classification. An essential first step to processing mixed batches with many types of documents is classification. Document Classification methods quickly sort documents by type using key content and layout attributes to identify them. The most popular document classification systems are advanced AI-based machine learning algorithms

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Cost sensitive hierarchical document classification to

3 hours ago Ncbi.nlm.nih.gov Visit Site

Dumais and Chen implemented a hierarchical SVM classification system to classify a set of pages from LookSmart. Hierarchical SVM classifiers based on the support vector clustering method for automatic document classification resulted in improved classification accuracy compared to the k-NN and decision tree systems .

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Opentext Capture Center

5 hours ago Opentext.com Visit Site

The documents are scanned and indexed automatically, sometimes with keyentry to enter or correct indexes. Presorting is elimi-nated through automated classification. The process is managed centrally, and compo-nents of the process may remain local within the scanning system or distributed remotely. Documents will then be available in the

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DIMS(Document Image Management System)

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Office automated document input. The DIMS employs both conventional batch processing and Digital Imaging Appliance (DIA) to combine network scanners and printers to archive paper documents with copy filing functions running anywhere in the office. Input by network scanner: An integrated OA work model with the latest network scanner.

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US5794236A - Computer-based system for classifying

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A computer system uses a legal hierarchy annotated with seed citations to generate a control file, and then using the control file, permits legal documents to be classified automatically into the legal hierarchy without the need for manual intervention. Each classification within the legal hierarchy receives a unique numerical classification key which identifies the location of the

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Top 14 Free and Open Source Document Management System

1 hours ago Softwaresuggest.com Visit Site

List of Free and Open Source Document Management System. Take a look at the top ten free open source document management systems before you finalize your purchase:. Tool #1: OpenKM. An electronic document as well as a record management system, OpenKM is a well-known name amongst most organizations.

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CapturePoint Platform: Intelligent Capture & Robotic

5 hours ago Capturepoint.net Visit Site

Automated Classification. Image, text, or rule-based classification methods that can be combined into a hierarchical system to deliver straight-through processing. Classify documents into different types and automatically sort incoming documents and route them to …

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Classifying Cancer Pathology Reports with Hierarchical

1 hours ago Osti.gov Visit Site

The U.S. Department of Energy's Office of Scientific and Technical Information

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Information Extraction from Receipts with Graph

8 hours ago Nanonets.com Visit Site

Graph Convolutional Networks (GCN) are a powerful solution to the problem of extracting information from a visually rich document (VRD) like Invoices or Receipts. In order to process the scanned receipts with a GCN, we need to transform each image into a graph. The most common way to build the graph is to represent each word on the image with a

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Machine Learning Applications for Document Classification

9 hours ago Aspirent.com Visit Site

Machine learning is being applied to many difficult problems in the advanced analytics arena. A current application of interest is in document classification, where the organizing and editing of documents is currently very manual. To accomplish such a feat, heavy use of text mining on unstructured data is needed to first parse and categorize information

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Reimagine data governance with Azure Purview

4 hours ago Pbiusergroup.com Visit Site

Automated Scanning & Classification Purview Platform • Serverless, pay per use • Includes connectors, scanning of sources, processing into data assets, lineage capture, classification Purview Data Map • Dedicated per customer on shared infrastructure • Provisioned default capacity with option to add-on capacity Azure Purview

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What is Document Scanning? - Document Processing Software

7 hours ago Hyland.com Visit Site

What are the valued benefits of document scanning software? Organizations can free themselves from paper. With user-friendly data entry and verification interfaces, the ability to check scanned images and make corrections or split images as they are scanned, as well as automated document classification and data extraction capabilities, document

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Automatic file naming and routing for scanned documents

7 hours ago Slideshare.net Visit Site

Understand how scanned documents and existing files can be automatically named and routed with intelligent data capture software. Learn how OCR-mined text, barcodes and system data can be used to name and route the files with no user intervention. And see how new cloud technology can be combined with email to seamlessly name and process your files.

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Using OCR Software to Make Documents Searchable

7 hours ago Efilecabinet.com Visit Site

The process, as you might expect, is quite complex. We won't get into the nitty-gritty coding elements that make electronic optical character recognition possible, but the process essentially begins when you scan a text document into your computer. A scan is little more than an image file, not much different than the pictures that you might take with your phone's camera or download from the web.

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Frequently Asked Questions

Is there a standard method for automatic document classification?

The issue of automatic document classification has been extensively studied over the last twenty years. But due to the complexity of the problem, which varies depending on where the technology is applied, there is still no standard, robust method that is valid in all potential cases.

What is the purpose of hierarchical document classification?

The underlying hierarchical structure identifies the relationships of dependence between different categories and provides valuable sources of information for cat- egorization.

How is SOTA used in scanned document classification?

We started with the weights of pretrained networks trained on ImageNet data set and retrained on our data set. The current SOTA model for this genre of problem uses inter and intra domain transfer learning where an image is divided into four parts header, footer, left body and right body.

Which is the most popular document classification system?

The most popular document classification systems are advanced AI-based machine learning algorithms that automatically learn how to classify documents based on samples and user feedback. These systems are very powerful but also very expensive.

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