Prior art — US Patent 12125319

Here's an analysis of the patent citations for US12125319, identifying potentially anticipatory prior art under 35 U.S.C. § 102. The focus will be on the core inventive aspects of US12125319: using optical character recognition (OCR) on voter-readable text of a Printed Vote Record (PVR) to generate a Cast Vote Record (CVR), with additional verification (e.g., using a barcode hash).

The legal status of US12125319 is listed as "Active," and it was granted on 2024-10-22. It also shows "Family has litigation" and a PTAB case filed (PGR2025-00066). The anticipated expiration date is 2039-01-04. Claims 21, 22, 28, 30, 32, and 33 were disclaimed on 2026-03-31.

The priority date for US12125319 is 2018-07-27. Prior art for anticipation under 35 U.S.C. § 102 must generally have a publication or effective filing date before this priority date.

Summary of US12125319's Core Claims:
The invention generally describes a method and system for electronic voting where a Printed Vote Record (PVR) is generated with voter-readable text indicating selections. Optical Character Recognition (OCR) is performed on this voter-readable text to create a "first data set" (the voter's selections as interpreted by OCR). Concurrently, "second information" (often encoded data like a barcode) is captured from the PVR to generate a "second data set." The accuracy of the OCR-derived selections is confirmed by comparing these two data sets prior to generating the final Cast Vote Record (CVR). The CVR, used for tabulation, is based on the verified OCR results, emphasizing a "what you see is what you get" transparency for the voter. Hash functions are specifically mentioned for this verification.

The following patent citations are listed for US12125319. I will prioritize those marked with an asterisk (*) indicating they were cited by the examiner.

Analysis of Patent Citations

Most Relevant Prior Art (Cited by Examiner)

US20020072961A1
- Full Citation: US20020072961A1 - McDermott Michael R. - "Auto-verifying voting system and voting method."
- Priority Date: 2000-12-07
- Publication Date: 2002-06-13
- Brief Description: This patent application describes an auto-verifying voting system where a voter's selections are recorded, a voter-verifiable record (VVR) is generated, and a mechanism is provided for the voter to verify their selections against the VVR. The system may include machine-readable codes for verification. This system aims to provide transparency and auditability.
- Potential Anticipation (35 U.S.C. § 102): This reference is highly relevant as it addresses "auto-verifying voting systems" and the generation of "voter-verifiable records" prior to the priority date of US12125319.
  - Claims 1, 15, 29, 34 (Generating PVR, providing voter-readable text, confirming accuracy before CVR): While US20020072961A1 describes a voter-verifiable record, it might not explicitly teach generating the final cast vote record solely from OCR of the voter-readable text on that record, nor the specific hash-based comparison between OCR data and encoded data for pre-tabulation verification as claimed by US12125319. However, the general concept of voter verification and system accuracy confirmation is present.
  - Claims 2, 5, 8, 13, 15, 29, 34 (Encoded data/barcode): The reference likely anticipates the use of encoded data or machine-readable codes on a ballot for verification purposes.
  - Claims 17, 18, 31, 35 (Hash verification): If the "machine-readable codes" in US20020072961A1 are hash-based and used to verify the voter's selections in a manner comparable to the hash-comparison described in US12125319, it could potentially anticipate these claims, at least in part. The novelty in US12125319 is particularly in verifying OCR results with a hash from encoded data and using the OCR results as the basis for the CVR.

Other Potentially Relevant Prior Art (Based on Titles)

US5625721A
- Full Citation: US5625721A - Matsushita Information Technology Laboratory - "Certifiable optical character recognition."
- Priority Date: 1992-10-09
- Publication Date: 1997-04-29
- Brief Description: This patent focuses on techniques for certifying OCR results, potentially involving methods to ensure the accuracy and reliability of character recognition. This is general OCR technology, not specific to voting.
- Potential Anticipation (35 U.S.C. § 102): This reference could broadly anticipate the "using optical character recognition (OCR) on... information to generate a first data set" element found in claims like 1, 15, 29, 34. It may also anticipate the need for "confirming an accuracy" of OCR (e.g., in claims 1, 15, 17, 18, 19, 29, 31, 34), but without the specific context of voting selections, voter-readable text as the primary CVR source, or the explicit barcode hash comparison.
US5850480A
- Full Citation: US5850480A - Scan-Optics, Inc. - "OCR error correction methods and apparatus utilizing contextual comparison."
- Priority Date: 1996-05-30
- Publication Date: 1998-12-15
- Brief Description: This patent describes methods and apparatus for correcting OCR errors by using contextual comparison, such as comparing OCR results to a dictionary or known patterns. This is relevant to the error correction aspects of OCR.
- Potential Anticipation (35 U.S.C. § 102): This reference clearly anticipates the concepts of improving OCR accuracy and error correction, potentially anticipating elements of claims related to matching OCR data to ballot choices and using an election dictionary, as described in the specification of US12125319. While not directly listed in the claims with the "election dictionary" explicitly, the process of comparing the first data set (OCR) to a second data set (from the PVR, e.g., an election dictionary implicitly) and recursively modifying the OCR process (Claims 21, 28, 30, 32, 33, 36, 37, 38) could find general technological roots here, although not necessarily in the voting context or with the specific hash-based verification.
US6885758B1
- Full Citation: US6885758B1 - Siemens Aktiengesellschaft - "Method for creating and/or updating dictionaries for automatically reading addresses."
- Priority Date: 1999-07-20
- Publication Date: 2005-04-26
- Brief Description: This patent describes methods for managing dictionaries used in automated character recognition, specifically for addresses. This highlights the use of dictionaries for OCR post-processing.
- Potential Anticipation (35 U.S.C. § 102): Similar to US5850480A, this would anticipate the use of "an election dictionary... of the potential vote choices" for pattern matching to OCR results, as mentioned in the specification for US12125319. While not a direct claim element, it provides the technological background for the dictionary-based matching used in the accuracy confirmation steps (e.g., claims 1, 15, 29, 34).
US7406201B2
- Full Citation: US7406201B2 - International Business Machines Corporation - "Correcting segmentation errors in OCR."
- Priority Date: 2003-12-04
- Publication Date: 2008-07-29
- Brief Description: This patent relates to improving OCR accuracy by correcting segmentation errors, which is a common problem in OCR processing.
- Potential Anticipation (35 U.S.C. § 102): This is another example of prior art for general OCR error correction and robustness, which underpins the "improved accuracy and/or error correction of the OCR by utilizing data processing techniques" described in US12125319. This contributes to the broader technical field relevant to claims like 1, 15, 21, 28, 29, 30, 32, 33, 34, 36, 37, 38 concerning OCR and its refinement.
US20100114674A1
- Full Citation: US20100114674A1 - Scytl Secure Electronic Voting, S.A. - "Auditable method and system for generating a verifiable vote record that is suitable for electronic voting."
- Priority Date: 2005-04-26
- Publication Date: 2010-05-06
- Brief Description: This patent describes an auditable electronic voting system that generates a verifiable vote record. While not explicitly focusing on OCR of voter-readable text, the concept of a verifiable vote record in electronic voting is directly relevant.
- Potential Anticipation (35 U.S.C. § 102): This broad voting system patent is relevant to the overarching goal of US12125319: a secure, reliable, and transparent voting workflow. It generally anticipates the "generating a cast vote record" and "confirming an accuracy of data to be cast" (Claims 1, 15, 29, 34), and potentially aspects of auditability (Claim 39). However, it does not explicitly teach the specific mechanism of using OCR on voter-readable text as the primary source for the CVR, nor the unique hash-based verification of OCR against encoded data as claimed by US12125319.

Conclusion on Most Relevant Prior Art

Based on the titles and brief descriptions, US20020072961A1 (McDermott Michael R. - "Auto-verifying voting system and voting method") is the most relevant prior art. It is the only patent citation explicitly marked as "Cited by examiner" and its title directly addresses core aspects of voting system verification and generating verifiable records. It clearly anticipates the general idea of an auto-verifying voting system and using machine-readable codes for verification of voter selections.

The primary distinction and potential novelty of US12125319 lies in the specific methodology:

Voter-readable text as the primary source for the CVR: The CVR is generated from OCR performed on the human-readable text, rather than relying solely on machine-readable codes (like barcodes) for tabulation. This is the "what you see is what you get" principle.
Specific verification mechanism: The OCR results (first data set) are directly compared, via a hash function, to a hash derived from encoded data (second data set, e.g., barcode) to confirm accuracy before generating the CVR. This explicitly verifies the OCR interpretation of the voter-readable text against a secure, machine-generated representation of the original intent, which is a key distinguishing feature from systems where barcodes are the direct source of vote data.

While US20020072961A1 introduces voter-verifiable records and machine-readable verification, it does not explicitly disclose generating the CVR from OCR of voter-readable text and then using a hash from a barcode to verify that OCR process specifically, as central to the vote tabulation. Other OCR-related patents discuss error correction and dictionaries, but not in the specific voting context with PVRs, voter-readable text, and the unique dual-data set verification method of US12125319.