Document Transition Identification in Bundled Files

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Solution Overview

Problem

Existing systems fail to accurately identify document transitions between adjacent documents within document bundles, which are often combined into a single electronic file, hindering effective content extraction and classification.

Innovation Solution

A system and method that utilize page-specific feature information to generate feature vectors for individual pages, comparing these vectors to determine if pages belong to different documents, with a trained model identifying document transitions based on feature vector comparisons and document separation markers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple separate documents are combined into a single document bundle for file transfer, then file transfer efficiency is improved, but document transition identification accuracy deteriorates

Engineering Contradiction:

Improvefile transfer efficiencyVSAvoiddocument transition identification accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system segments the document bundle into individual document portions by analyzing page-specific feature vectors. Each page is evaluated independently to determine whether it belongs to the current document or marks a transition to a new document, enabling accurate separation of multiple documents within a single bundled file.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces document separation markers as intermediary elements that indicate transitions between documents. These markers serve as reference points during the analysis process, helping the system identify where one document ends and another begins by comparing feature vectors across page boundaries.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If automated content extraction is applied to document bundles, then content extraction efficiency is improved, but classification accuracy deteriorates due to inability to distinguish document boundaries

Engineering Contradiction:

Improvecontent extraction efficiencyVSAvoidclassification accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system divides the document bundle into distinct document segments by comparing page-specific feature vectors. This segmentation enables the automated extraction system to process each document separately, maintaining classification accuracy while preserving the efficiency benefits of batch processing multiple documents.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary analysis of page-specific features and generates feature vectors before content extraction begins. By pre-identifying document transitions through feature vector comparison, the system prepares accurate document boundaries in advance, ensuring that subsequent content extraction and classification operations can proceed efficiently with correct document delimitation.

Inventive Principle:

Principle #10Preliminary action

3Speed

If document bundles are processed as single files, then processing speed is improved, but document separation accuracy deteriorates

Engineering Contradiction:

Improveprocessing speedVSAvoiddocument separation accuracy

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The system processes the document bundle as a single file for efficiency but segments it into individual documents through analysis of page-specific feature vectors. By evaluating features at page boundaries and comparing vectors to detect transitions, the system achieves both fast batch processing and accurate document separation without requiring separate file processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system replaces manual or mechanical document separation methods with automated machine learning-based feature vector analysis. This substitution enables rapid processing of document bundles while accurately identifying document transitions through computational comparison of page-specific features, achieving both speed and precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20240086739A1Systems and methods to identify document transitions between adjacent documents within document bundles

Publication Date: 2024.03.14 INSTABASE INC

AI summary

Systems and methods to identify document transitions between adjacent documents within document bundles are disclosed. Exemplary implementations may train a model: obtain training information including a first training bundle and corresponding document separation markers; determine page-specific feature information pertaining to individual pages of the first training bundle; determine, based on the obtained page-specific feature information, page-specific feature values for individual features of the individual pages of the first training bundle; generate, for the individual pages of the first training bundle, a page-specific feature vector; train the model, using the training document bundles, to determine whether the first page and the second page are part of different document. Systems and methods may utilize the trained model to identify document transitions between adjacent documents within document bundles.