Signature Area Text Removal for Financial Document Validation
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Solution Overview
Problem
Financial document processing systems face challenges in signature validation due to extraneous machine-printed text in the signature area, which introduces noise and distorts confidence scores.
Innovation Solution
A method for automatically removing machine-printed text and handwritten strokes from a predetermined area of a document, such as the signature area of a financial document, using a computer software algorithm that detects text parameters, re-computes local baselines, and separates handwritten strokes from text, allowing for iterative removal and restoration of the signature area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If machine-printed text is present in the signature area, then the document contains complete information, but the signature validation accuracy deteriorates due to noise and distorted confidence scores
Solution Approach 1:
The patent extracts and removes machine-printed text from the signature area using text detection algorithms that identify text baselines, slopes, and boundaries. The system selectively removes only the machine-printed text while preserving handwritten signature strokes through iterative detection and removal processes, thereby eliminating noise without losing signature information.
Solution Approach 2:
The patent applies different processing treatments to different parts of the signature area. Handwritten strokes are preserved while machine-printed text is removed. The system analyzes local characteristics of each stroke (whether it belongs to text or signature) and applies appropriate quality maintenance or removal actions accordingly.
2Reliability
If text detection and removal algorithms are applied, then noise is eliminated from the signature area, but the processing complexity and computational resources increase
Solution Approach 1:
The patent segments the signature area processing into distinct stages: text detection phase (identifying text baselines, slopes, and boundaries), text removal phase (eliminating detected text), and signature restoration phase (recovering any damaged signature strokes). This segmentation allows each phase to be optimized independently and simplifies the overall system architecture.
Solution Approach 2:
The patent performs preliminary text detection and identification before the actual signature validation process. By pre-removing machine-printed text and pre-restoring signature strokes, the system prepares a clean signature area that eliminates the need for complex noise filtering during validation, thereby reducing overall system complexity.
3Object-generated harmful factors
If handwritten strokes are removed along with text, then text elimination is more complete, but the signature information is damaged
Solution Approach 1:
The patent applies different quality treatments to different strokes based on their local characteristics. Each stroke is analyzed to determine whether it belongs to machine-printed text or handwritten signature. Only strokes identified as text are removed, while handwritten strokes are preserved and even restored if they were accidentally affected by the removal process.
Solution Approach 2:
The patent employs iterative text detection and removal with feedback mechanisms. After each removal cycle, the system re-evaluates the signature area to ensure no signature information was incorrectly removed. The feedback loop allows the system to refine its text detection accuracy and restore any mistakenly removed signature strokes, ensuring complete text removal without signature damage.
Data Source
AI summary
The present invention provides a method for processing a document involving the automatic removal of text from a predetermined area of a document, the method comprising inputting a bitmap containing the predetermined area of the document from which the text will be removed wherein the predetermined area contains handwritten strokes, detecting the text, removing the text and any handwritten strokes that intersect with the text and outputting the bitmap with the text removed therefrom.