RECOGNIZING TEXT IN IMAGE DATA

Organization Name

Inventor(s)

Subhashini Tripuraneni of Flower Mound TX (US)

Joseph R. Barco, Jr. of Midlothian VA (US)

RECOGNIZING TEXT IN IMAGE DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346069 titled 'RECOGNIZING TEXT IN IMAGE DATA

Simplified Explanation: This patent application describes a device that can identify a segment of interest within an image of a document, crop that segment, perform optical character recognition on it to extract text, validate the text using verification data, and take action based on the validation result.

Key Features and Innovation:

Image data of a document is analyzed to identify a segment of interest based on edges.
The identified segment is cropped to extract a portion of the image data.
Optical character recognition is performed on the extracted portion to recognize text.
Validation data, including verification text, is obtained based on the recognized text.
The recognized text is verified using the verification text to determine its accuracy.
Actions are taken based on the validation result.

Potential Applications: This technology could be used in document scanning applications, data extraction processes, and verification systems.

Problems Solved: This technology streamlines the process of extracting text from documents and verifying its accuracy, reducing manual effort and potential errors.

Benefits:

Improved efficiency in text extraction and verification processes.
Enhanced accuracy in recognizing and validating text.
Automation of document processing tasks.

Commercial Applications: Title: Automated Document Verification and Text Extraction Technology This technology could be utilized in industries such as finance, legal, and healthcare for automating document processing, data extraction, and verification tasks.

Prior Art: Readers interested in prior art related to this technology could explore patents in the fields of document processing, optical character recognition, and data validation.

Frequently Updated Research: Stay updated on advancements in optical character recognition, document processing automation, and data verification technologies to enhance the capabilities of this innovation.

Questions about Automated Document Verification and Text Extraction Technology: 1. How does this technology improve the efficiency of document processing tasks? 2. What are the potential challenges in implementing automated text extraction and verification systems?

Original Abstract Submitted

a device may receive image data representing a document, the document including: text, and edges. based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. in addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. the device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. based on a result of the determination, the device may perform an action.