REGEXVAULTv2.0
Identity & PII/Biometric & Physical
Verified Safe

Fingerprint Quality Score (NIST NFIQ) Regex for PHP

/^(?:100|[1-9][0-9]?|0)$/

What this pattern does

This page provides a lightweight, single-purpose regular expression for matching fingerprint quality score (nist nfiq), ported and verified for PHP. Identity and credential patterns need both correctness and safety, since they're frequent targets for adversarial input. The snippet below is ready to drop into your PHP project — whether you're validating in a Laravel validator, a WordPress plugin, or a standalone PHP script.

Php Implementation

Php
<?php
// Fingerprint Quality Score (NIST NFIQ)
// ReDoS-safe | RegexVault — Identity & PII > Biometric & Physical

define('FINGERPRINT_QUALITY_SCORE_NIST_NFIQ_PATTERN', '/^(?:100|[1-9][0-9]?|0)$/');

function validate_fingerprint_quality_score_nist_nfiq(string $input): bool {
    return (bool) preg_match(FINGERPRINT_QUALITY_SCORE_NIST_NFIQ_PATTERN, $input);
}

// Example
var_dump(validate_fingerprint_quality_score_nist_nfiq("0")); // bool(true)

Test Cases

Matches (Valid)
Rejects (Invalid)
0101
1-1
5050.5
99abc
100

When to use this pattern

This pattern is drawn from the Identity & PII > Biometric & Physical category and carries a ReDoS-safe certification. That matters for PHP developers because especially relevant in PHP where PCRE backtracking limits can trigger silent failures on malicious input. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.

Common Pitfalls

Any system storing fingerprint quality scores is almost certainly also storing fingerprint images or templates — both are the highest sensitivity biometric data. Biometric data often triggers sector-specific laws (e.g., Illinois BIPA).

Technical Notes

NFIQ2 (NIST Fingerprint Image Quality 2) scores fingerprint images 0-100, where 100 is best quality and 0 is unusable. Used in biometric enrollment systems, e-passport readers, and border control. Fingerprint data is biometric data — highest sensitivity classification.

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