Regula Analysis Finds ID Document Verification Hardest for Arabic, Chinese, Japanese

Why It Matters

Inaccurate reading of non‑Latin IDs hampers global compliance and slows onboarding, raising costs and fraud exposure for multinational firms. Solving these gaps enables faster, more reliable customer verification across diverse markets.

Key Takeaways

• Arabic, Chinese, Japanese IDs cause highest verification error rates
• Lost diacritics and ambiguous fields trigger false rejections
• Multi‑script documents require more than OCR for accurate matching
• Regula’s database covers 16,000 templates across 254 jurisdictions
• Layered verification reduces manual review and fraud exposure

Pulse Analysis

Automated identity verification has become a cornerstone of KYC processes, yet the majority of solutions were built around the Latin alphabet, which serves roughly 40% of the global population. When businesses encounter passports, driver’s licenses or national IDs written in Arabic, Chinese or Japanese, the OCR engines often stumble on right‑to‑left text flow, missing diacritics, or mixed script layouts. These technical hiccups translate into higher false‑negative rates, longer onboarding times, and a greater reliance on costly manual checks, eroding the efficiency gains that digital verification promised.

The root of the problem lies in the mismatch between native‑script data and its Latin transliteration, as well as inconsistencies across MRZ lines, embedded chips and user‑entered information. For example, Arabic documents may drop diacritical marks that change name spelling, while Chinese IDs exist in both simplified and traditional forms, each with distinct glyph sets. Japanese IDs combine kanji, hiragana and katakana, further complicating field extraction. Such nuances mean that a simple OCR pass cannot guarantee accurate data extraction; instead, a multi‑layered approach that validates script‑specific rules, cross‑checks against transliteration standards and incorporates document‑template intelligence is required.

Regula addresses these challenges by integrating a comprehensive template library—over 16,000 document designs spanning 254 jurisdictions—with advanced language‑aware processing modules. The platform layers OCR, script‑specific parsing, transliteration verification and cross‑reference checks against MRZ and chip data, dramatically reducing mismatches. Early adopters report up to a 30% drop in manual review volume and faster compliance cycles. As global commerce expands into emerging markets, solutions that can reliably interpret non‑Latin IDs will become a competitive differentiator, enabling firms to scale KYC operations without sacrificing security or speed.