Identity Verification Confidence Score Calculator
ANA›Life Services Authority›National Calculator Authority›Identity Verification Confidence Score Calculator
.calc-container { max-width: 640px; margin: 2rem 0; padding: 1.5rem; background: #fff; border: 1px solid #ddd; border-radius: 8px; box-shadow: 0 1px 3px rgba(0,0,0,0.06); font-family: system-ui, -apple-system, sans-serif; } .calc-container h3 { font-family: Georgia, serif; font-size: 1.15rem; color: #1a1a1a; margin-bottom: 1rem; padding-bottom: 0.5rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-row { display: flex; align-items: center; gap: 0.75rem; margin-bottom: 0.75rem; flex-wrap: wrap; } .calc-row label { min-width: 160px; font-size: 0.9rem; color: #333; font-weight: 500; } .calc-row input[type="number"], .calc-row select { flex: 1; min-width: 120px; max-width: 200px; padding: 0.5rem 0.6rem; border: 1px solid #ccc; border-radius: 4px; font-size: 0.9rem; font-family: system-ui, sans-serif; color: #1a1a1a; background: #fafaf8; } .calc-row input:focus, .calc-row select:focus { outline: none; border-color: var(--ac, #3d5a80); box-shadow: 0 0 0 2px rgba(26,74,138,0.12); } .calc-row .unit { font-size: 0.82rem; color: #888; min-width: 30px; } .calc-btn { display: inline-block; margin-top: 0.5rem; padding: 0.55rem 1.5rem; background: var(--ac, #3d5a80); color: #fff; border: none; border-radius: 4px; font-size: 0.9rem; font-weight: 600; cursor: pointer; font-family: system-ui, sans-serif; } .calc-btn:hover { opacity: 0.9; } .calc-result { margin-top: 1.25rem; padding: 1rem 1.25rem; background: #f0f6fc; border-left: 3px solid var(--ac, #3d5a80); border-radius: 0 6px 6px 0; display: none; } .calc-result.visible { display: block; } .calc-result-label { font-size: 0.78rem; text-transform: uppercase; letter-spacing: 0.06em; color: #666; margin-bottom: 0.25rem; } .calc-result-value { font-size: 1.6rem; font-weight: 700; color: var(--ac, #3d5a80); } .calc-result-detail { font-size: 0.85rem; color: #555; margin-top: 0.5rem; line-height: 1.5; } .calc-note { margin-top: 1rem; font-size: 0.8rem; color: #888; font-style: italic; } .calc-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 0.75rem; margin-top: 0.75rem; } .calc-grid-item { padding: 0.6rem 0.8rem; background: #f8f9fa; border-radius: 4px; border: 1px solid #eee; } .calc-grid-item .label { font-size: 0.75rem; color: #888; text-transform: uppercase; letter-spacing: 0.04em; } .calc-grid-item .value { font-size: 1.1rem; font-weight: 600; color: #1a1a1a; } @media (max-width: 720px) { .calc-row { flex-direction: column; align-items: flex-start; gap: 0.3rem; } .calc-row label { min-width: auto; } .calc-row input[type="number"], .calc-row select { max-width: 100%; width: 100%; } .calc-grid { grid-template-columns: 1fr; } } .calc-chart { margin: 1rem 0; text-align: center; } .calc-chart svg { max-width: 100%; height: auto; } .calc-chart-legend { display: flex; flex-wrap: wrap; justify-content: center; gap: 0.6rem 1.2rem; margin-top: 0.6rem; font-size: 0.8rem; color: #555; } .calc-chart-legend span { display: inline-flex; align-items: center; gap: 0.3rem; } .calc-chart-legend i { display: inline-block; width: 10px; height: 10px; border-radius: 2px; font-style: normal; } .calc-related { max-width: 640px; margin: 2rem 0 1rem; padding: 1.25rem 1.5rem; background: #f8f9fa; border: 1px solid #e8e8e8; border-radius: 8px; } .calc-related h3 { font-family: Georgia, serif; font-size: 1rem; color: #1a1a1a; margin: 0 0 0.75rem; padding-bottom: 0.4rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-related-list { list-style: none; padding: 0; margin: 0 0 0.75rem; display: grid; grid-template-columns: 1fr 1fr; gap: 0.4rem 1.5rem; } .calc-related-list li a { font-size: 0.88rem; color: var(--ac, #3d5a80); text-decoration: none; } .calc-related-list li a:hover { text-decoration: underline; } .calc-browse-all { margin: 0.5rem 0 0; font-size: 0.9rem; font-weight: 600; } .calc-browse-all a { color: var(--ac, #3d5a80); text-decoration: none; } .calc-browse-all a:hover { text-decoration: underline; } @media (max-width: 720px) { .calc-related-list { grid-template-columns: 1fr; } }
Identity Verification Confidence Score Calculator
Calculate a composite identity verification confidence score (0–100) based on document quality, biometric match strength, data consistency, and risk signal penalties. Used in KYC, onboarding, and fraud prevention workflows.
Document Quality Score (0–100)
Document Type Weight
Passport (1.00) National ID Card (0.95) Driver's License (0.85) Residence Permit (0.70) Utility Bill / Secondary Doc (0.55)
Biometric Match Score (0–100)
Liveness Check Passed?
Yes — Active liveness confirmed (1.00) Partial — Passive liveness only (0.80) No — No liveness check performed (0.50)
Data Consistency Score (0–100)
Database / Watchlist Check
Clear — No adverse findings (1.00) Partial Match — Possible alias or soft hit (0.70) Hit — Matched on watchlist or sanctions (0.30)
Number of Risk Signals Detected (0–10)
Penalty per Risk Signal (points, 1–10)
Calculate Confidence Score Your confidence score will appear here.
function ideCalc() { // --- Read inputs --- const docQuality = parseFloat(document.getElementById('ide-doc-quality').value); const docTypeWeight = parseFloat(document.getElementById('ide-doc-type').value); const biometric = parseFloat(document.getElementById('ide-biometric').value); const livenessWeight = parseFloat(document.getElementById('ide-liveness').value); const dataConsistency = parseFloat(document.getElementById('ide-data-consistency').value); const dbMatch = parseFloat(document.getElementById('ide-database-match').value); const riskSignals = parseInt(document.getElementById('ide-risk-signals').value); const riskPenalty = parseFloat(document.getElementById('ide-risk-penalty').value);
const resultDiv = document.getElementById('ide-result');
// --- Validation --- if ( isNaN(docQuality) || isNaN(biometric) || isNaN(dataConsistency) || isNaN(riskSignals) || isNaN(riskPenalty) ) { resultDiv.innerHTML = '⚠ Please fill in all fields with valid numbers.'; return; } if (docQuality 100) { resultDiv.innerHTML = '⚠ Document Quality Score must be between 0 and 100.'; return; } if (biometric 100) { resultDiv.innerHTML = '⚠ Biometric Match Score must be between 0 and 100.'; return; } if (dataConsistency 100) { resultDiv.innerHTML = '⚠ Data Consistency Score must be between 0 and 100.'; return; } if (riskSignals 10) { resultDiv.innerHTML = '⚠ Risk Signals must be between 0 and 10.'; return; } if (riskPenalty 10) { resultDiv.innerHTML = '⚠ Penalty per Risk Signal must be between 1 and 10.'; return; }
// --- Component weights (sum = 1.0) --- const W_DOC = 0.25; // Document component weight const W_BIO = 0.35; // Biometric component weight const W_DATA = 0.25; // Data consistency component weight const W_DB = 0.15; // Database/watchlist component weight
// --- Component scores --- // Document score: quality adjusted by document type trustworthiness const docScore = docQuality * docTypeWeight;
// Biometric score: face match adjusted by liveness confidence const bioScore = biometric * livenessWeight;
// Data consistency score: raw score (already 0–100) const dataScore = dataConsistency;
// Database score: watchlist result mapped to 0–100 const dbScore = dbMatch * 100;
// --- Weighted base score (0–100) --- const baseScore = (W_DOC * docScore) + (W_BIO * bioScore) + (W_DATA * dataScore) + (W_DB * dbScore);
// --- Risk signal penalty --- const totalPenalty = riskSignals * riskPenalty;
// --- Final confidence score (clamped 0–100) --- const rawScore = baseScore - totalPenalty; const finalScore = Math.min(100, Math.max(0, rawScore));
// --- Verdict --- let verdict = ''; let color = ''; if (finalScore >= 80) { verdict = '✅ High Confidence — Approve'; color = '#27ae60'; } else if (finalScore >= 60) { verdict = '⚠️ Medium Confidence — Manual Review Recommended'; color = '#e67e22'; } else if (finalScore >= 40) { verdict = '🔶 Low Confidence — Enhanced Due Diligence Required'; color = '#d35400'; } else { verdict = '❌ Very Low Confidence — Reject / Flag for Investigation'; color = '#c0392b'; }
// --- Output --- resultDiv.innerHTML = 'Confidence Score: ' + finalScore.toFixed(1) + ' / 100' + '' + verdict + '' + 'Score Breakdown:' + '• Document Component (' + (W_DOC100) + '%): ' + docScore.toFixed(1) + ' → weighted ' + (W_DOC * docScore).toFixed(2) + '' + '• Biometric Component (' + (W_BIO100) + '%): ' + bioScore.toFixed(1) + ' → weighted ' + (W_BIO * bioScore).toFixed(2) + '' + '• Data Consistency (' + (W_DATA100) + '%): ' + dataScore.toFixed(1) + ' → weighted ' + (W_DATA * dataScore).toFixed(2) + '' + '• Database/Watchlist (' + (W_DB100) + '%): ' + dbScore.toFixed(1) + ' → weighted ' + (W_DB * dbScore).toFixed(2) + '' + '• Weighted Base Score: ' + baseScore.toFixed(2) + '' + '• Risk Signal Penalty: −' + totalPenalty.toFixed(1) + ' (' + riskSignals + ' signal(s) × ' + riskPenalty + ' pts each)' + '• Final Score: ' + finalScore.toFixed(1) + ''; }
#### Formula
Step 1 — Component Scores: Doc Score = Document Quality (0–100) × Document Type Weight Bio Score = Biometric Match (0–100) × Liveness Weight Data Score = Data Consistency (0–100) DB Score = Database Check Result × 100
Step 2 — Weighted Base Score: Base Score = (0.25 × Doc Score) + (0.35 × Bio Score) + (0.25 × Data Score) + (0.15 × DB Score)
Step 3 — Risk Penalty: Total Penalty = Number of Risk Signals × Penalty per Signal
Step 4 — Final Confidence Score: Score = clamp(Base Score − Total Penalty, 0, 100)
Thresholds: ≥ 80 → High Confidence (Approve) | 60–79 → Medium (Review) | 40–59 → Low (EDD) | < 40 → Reject
#### Assumptions & References
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