惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
美团技术团队
Last Week in AI
Last Week in AI
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
博客园 - 聂微东
雷峰网
雷峰网
阮一峰的网络日志
阮一峰的网络日志
博客园 - 叶小钗
IT之家
IT之家
Google DeepMind News
Google DeepMind News
D
Docker
J
Java Code Geeks
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Apple Machine Learning Research
Apple Machine Learning Research
博客园 - 【当耐特】
V
V2EX
Hugging Face - Blog
Hugging Face - Blog
博客园 - Franky
月光博客
月光博客
宝玉的分享
宝玉的分享
酷 壳 – CoolShell
酷 壳 – CoolShell
aimingoo的专栏
aimingoo的专栏
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Hacker News

GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Retrofitting JIT Compilers into C Interpreters IPv6 – Google The Accursèd Alphabetical Clock Cybersecurity Looks Like Proof of Work Now Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent When moving fast, talking is the first thing to break Too much Discussion of the XOR swap trick – Heather Cafe Introduction to Spherical Harmonics for Graphics Programmers The Grand Line
GitHub - chasangchual/reed-solomon-for-ocr
2026-06-27 · via Hacker News

Overview

This project provides OCR-optimized error correction for printed codes, coupons, IDs, and labels.

The goal is to print a compact code with Reed-Solomon ECC and OCR-safe parity text. When OCR misreads one or more symbols, the decoder can detect that the scanned code is invalid, identify which symbol positions are inconsistent, and correct the original message when the number of errors is within the configured Reed-Solomon limit.

This is especially useful when the print environment is not ideal. Examples include dot-matrix printers with missing pins, ribbons that are running out of ink, low-resolution printing, labels that easily collect dirt, or any workflow where printed characters can be partially damaged before OCR reads them.

This can improve OCR reliability toward 100% for controlled printed-code workflows, assuming the scan quality is good enough and the number of OCR mistakes does not exceed the correction capacity.

Reed-Solomon Error Correction

ReedSolomonForOcr implements Reed-Solomon over GF(256).

  • Symbol size: 8 bits
  • Maximum codeword length: 255 symbols
  • Encoding format: message + parity
  • Correction capacity: up to floor(nsym / 2) unknown symbol errors

For example, nsym=10 adds 10 parity symbols and can correct up to 5 unknown symbol errors.

The normal byte-oriented API works with integer symbols in the range 0..255:

from importlib.util import module_from_spec, spec_from_file_location

spec = spec_from_file_location("reed_solomon_ocr", "reed-solomon-ocr.py")
module = module_from_spec(spec)
spec.loader.exec_module(module)

ReedSolomonForOcr = module.ReedSolomonForOcr

rs = ReedSolomonForOcr(nsym=10)
message = ReedSolomonForOcr.bytes_to_symbols(b"HELLO-123")

codeword = rs.encode(message)
is_valid = rs.check(codeword)
decoded = rs.correct(codeword)

assert is_valid
assert decoded == message

OCR-Safe Characters

OCR mistakes often come from look-alike characters. When reducing a character set to avoid confusion, choose the most distinctive character from each look-alike group.

Recommended alphanumeric choices:

  • For 0 and O: keep neither. Remove both 0 and O.
  • For 1, I, and l: keep only the number 1. Remove capital I and lowercase l.
  • For 2 and Z: keep the number 2. Remove capital Z.
  • For 5 and S: keep the number 5. Remove capital S.
  • For 8 and B: keep the number 8. Remove capital B.
  • For 6 and G: keep the number 6. Remove capital G.
  • For V and U: keep capital U. Remove capital V.

Ultimate safe character list:

  • Safe numbers: 2 3 4 5 6 7 8 9
  • Safe letters: A C D E F H J K L M N P Q R T U W X Y

The codec uses this OCR-safe alphabet for parity text:

23456789ACDEFHJKLMNPQRTUWXY

Because Reed-Solomon symbols are GF(256) bytes, one parity byte cannot fit into one OCR-safe character. The implementation encodes each parity byte as two OCR-safe characters.

How To Use

Encode With OCR-Safe Parity

rs = ReedSolomonForOcr(nsym=10)
message = ReedSolomonForOcr.bytes_to_symbols(b"HELLO-123")

message_symbols, safe_parity = rs.encode_with_ocr_safe_parity(message)

print(message_symbols)
print(safe_parity)

Print or store both:

  • message_symbols: the original message symbols
  • safe_parity: OCR-safe parity characters

Rebuild A Codeword From OCR-Safe Parity

codeword = rs.codeword_from_ocr_safe_parity(message_symbols, safe_parity)
assert rs.check(codeword)

Correct A Corrupted Message With OCR-Safe Parity

corrupted_message = message_symbols[:]
corrupted_message[0] ^= 0x55

decoded = rs.correct_with_ocr_safe_parity(corrupted_message, safe_parity)

assert decoded == message

Byte Helpers

symbols = ReedSolomonForOcr.bytes_to_symbols(b"ABC123")
data = ReedSolomonForOcr.symbols_to_bytes(symbols)

Compatibility Wrapper Functions

The module also exposes wrapper functions:

codeword = module.rs_encode_msg(message, nsym=10)
decoded = module.rs_correct_msg(codeword, nsym=10)

message_symbols, safe_parity = module.rs_encode_msg_with_ocr_safe_parity(message, nsym=10)
decoded = module.rs_correct_msg_with_ocr_safe_parity(message_symbols, safe_parity, nsym=10)

Run Demo And Tests

python3 main.py
python3 -m unittest -v