feat(ocr): boost confiance avec annuaire de noms (FR+multi-lang) + docs
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4NK IA
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backend/nameDirectory.js
Normal file
66
backend/nameDirectory.js
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@ -0,0 +1,66 @@
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const fs = require('fs')
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const path = require('path')
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function loadCsvNames(filePath) {
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try {
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const raw = fs.readFileSync(filePath, 'utf8')
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const lines = raw.split(/\r?\n/).map((l) => l.trim()).filter(Boolean)
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const names = []
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for (const line of lines) {
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const parts = line.split(/[;,\t]/).map((p) => p.trim()).filter(Boolean)
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for (const p of parts) {
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if (/^[A-Za-zÀ-ÖØ-öø-ÿ'\-\s]{2,}$/.test(p)) names.push(p)
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}
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}
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return names
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} catch {
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return []
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}
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}
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function buildNameSets() {
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const baseDir = path.join(__dirname, 'data', 'names')
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const firstNames = new Set()
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const lastNames = new Set()
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try {
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if (!fs.existsSync(baseDir)) return { firstNames, lastNames }
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const files = fs.readdirSync(baseDir)
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for (const f of files) {
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const fp = path.join(baseDir, f)
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if (!fs.statSync(fp).isFile()) continue
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const list = loadCsvNames(fp)
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const isFirst = /first|prenom|given/i.test(f)
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const isLast = /last|nom|surname|family/i.test(f)
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for (const n of list) {
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const norm = n.normalize('NFD').replace(/[\u0300-\u036f]/g, '').toLowerCase()
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if (isFirst) firstNames.add(norm)
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if (isLast) lastNames.add(norm)
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}
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}
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} catch {}
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return { firstNames, lastNames }
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}
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let cache = null
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function getNameDirectory() {
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if (!cache) cache = buildNameSets()
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return cache
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}
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function nameConfidenceBoost(firstName, lastName) {
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try {
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const dir = getNameDirectory()
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const f = (firstName || '').normalize('NFD').replace(/[\u0300-\u036f]/g, '').toLowerCase()
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const l = (lastName || '').normalize('NFD').replace(/[\u0300-\u036f]/g, '').toLowerCase()
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let boost = 0
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if (f && dir.firstNames.has(f)) boost += 0.05
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if (l && dir.lastNames.has(l)) boost += 0.05
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return boost
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} catch {
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return 0
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}
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}
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module.exports = { getNameDirectory, nameConfidenceBoost }
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@ -13,6 +13,7 @@ const fs = require('fs')
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const crypto = require('crypto')
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const { createWorker } = require('tesseract.js')
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const { preprocessImageForOCR, analyzeImageMetadata } = require('./imagePreprocessing')
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const { nameConfidenceBoost } = require('./nameDirectory')
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const pdf = require('pdf-parse')
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const app = express()
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@ -923,13 +924,20 @@ function generateStandardJSON(documentInfo, ocrResult, entities, processingTime)
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// Calcul de la confiance globale
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const baseConfidence = typeof ocrResult.confidence === 'number' ? ocrResult.confidence : 0
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const dirBoost = (() => {
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try {
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const id0 = (Array.isArray(identities) && identities.length > 0) ? identities[0] : null
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return id0 ? nameConfidenceBoost(id0.firstName, id0.lastName) : 0
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} catch { return 0 }
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})()
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const globalConfidence = Math.min(
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95,
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Math.max(
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60,
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baseConfidence * 0.8 +
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(identities.length > 0 ? 10 : 0) +
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(cniNumbers.length > 0 ? 15 : 0),
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(cniNumbers.length > 0 ? 15 : 0) +
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Math.round(dirBoost * 100),
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),
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)
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@ -1054,10 +1062,51 @@ function generateStandardJSON(documentInfo, ocrResult, entities, processingTime)
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? ['Aucune signature détectée']
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: [],
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timestamp: timestamp,
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suggestions: computeQualitySuggestions({
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documentType,
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confidence: (typeof ocrResult.confidence === 'number' ? ocrResult.confidence : 0) / 100,
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identities: safeEntities.identities,
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addresses: safeEntities.addresses,
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}),
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},
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}
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}
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// Détermine des recommandations de qualité (remplacement/confirmation)
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function computeQualitySuggestions(ctx) {
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try {
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const suggestions = {
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needsReupload: false,
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reasons: [],
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needsAddressConfirmation: false,
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detectedAddress: null,
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}
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// Critères de re-upload: faible confiance OCR OU CNI sans NOM/PRÉNOM
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if (typeof ctx.confidence === 'number' && ctx.confidence < 0.75) {
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suggestions.needsReupload = true
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suggestions.reasons.push('Confiance OCR faible')
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}
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if ((ctx.documentType || '').toUpperCase() === 'CNI') {
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const numIds = Array.isArray(ctx.identities) ? ctx.identities.length : 0
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if (numIds === 0) {
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suggestions.needsReupload = true
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suggestions.reasons.push('Nom/Prénom non reconnus')
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}
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}
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// Confirmation d'adresse si détectée
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if (Array.isArray(ctx.addresses) && ctx.addresses.length > 0) {
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suggestions.needsAddressConfirmation = true
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suggestions.detectedAddress = ctx.addresses[0]
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}
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return suggestions
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} catch {
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return { needsReupload: false, reasons: [], needsAddressConfirmation: false, detectedAddress: null }
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}
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}
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// Fonction pour déterminer le sous-type de document
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function getDocumentSubType(documentType, text) {
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if (documentType === 'Facture') {
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@ -1192,12 +1241,14 @@ function extractEntitiesFromText(text) {
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try {
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const t = correctedText.replace(/\u200B|\u200E|\u200F/g, '')
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// MRZ de CNI (deux ou trois lignes, séparateur << : NOM<<PRENOMS)
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// Scanner le texte complet (sans filtrage par lignes) et normaliser
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// Normaliser (suppression accents) et mettre en majuscules
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const mrzText = t
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.normalize('NFD')
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.replace(/[\u0300-\u036f]/g, '')
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.toUpperCase()
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const mrzRegex = /([A-Z]{2,})<<([A-Z<]{2,})/g
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// Recherche stricte NOM<<PRENOMS (MRZ)
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const mrzRegex = /\b([A-Z]{2,})(?:<+)([A-Z<]{2,})\b/g
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let match
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while ((match = mrzRegex.exec(mrzText)) !== null) {
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const rawSurname = match[1].replace(/</g, ' ').trim()
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@ -1218,9 +1269,9 @@ function extractEntitiesFromText(text) {
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// Repli: si pas d'identité MRZ extraite, tenter reconstruction NOM/PRÉNOM séparés
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if (!(Array.isArray(entities.identities) && entities.identities.some((i)=> (i.source||'').toLowerCase()==='mrz'))) {
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// Chercher NOM après IDFRA (ex: IDFRACANTU<<<<...)
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// Chercher NOM après IDFRA (ex: IDFRA CANTU<<<<...)
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const mSurname = mrzText.match(/IDFRA\s*([A-Z]{2,})</)
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// Chercher PRENOM en premier avant << (ex: NICOLAS<<FRANCS)
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// Chercher PRENOM avant << (ex: NICOLAS<<...)
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const mGiven = mrzText.match(/\b([A-Z]{2,})<<[A-Z<]{2,}\b/)
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const last = mSurname?.[1]?.trim()
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const first = mGiven?.[1]?.trim()
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@ -1239,7 +1290,7 @@ function extractEntitiesFromText(text) {
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// Libellés français typiques de CNI
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// NOM : XXXX PRENOM(S) : YYYYY
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const labelName = t.match(/\bNOM\s*[:\-]?\s*([A-ZÀ-ÖØ-Þ\-\s]{2,})/i)
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const labelGiven = t.match(/\bPRÉ?NOM\S*\s*[:\-]?\s*([A-Za-zÀ-ÖØ-öø-ÿ'\-\s]{2,})/i)
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const labelGiven = t.match(/\bPR[ÉE]?NOM\S*\s*[:\-]?\s*([A-Za-zÀ-ÖØ-öø-ÿ'\-\s]{2,})/i)
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if (labelName || labelGiven) {
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const last = (labelName?.[1] || '').replace(/[^A-Za-zÀ-ÖØ-Þ'\-\s]/g, '').trim()
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const first = (labelGiven?.[1] || '').replace(/[^A-Za-zÀ-ÖØ-öø-ÿ'\-\s]/g, '').trim()
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@ -1312,25 +1363,26 @@ function extractEntitiesFromText(text) {
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// Extraction des adresses
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const addressPatterns = [
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// 10 rue Exemple, 75001 Paris
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/(\d{1,4})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+?),\s*(\d{2}\s?\d{3})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+)/gi,
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/(\d{1,4})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+?),\s*(\d{5})\s+([A-Za-zÀ-ÖØ-öø-ÿ\-\s]{2,})(?:\b(France)\b)?/gi,
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// demeurant 10 rue Exemple, 75001 Paris
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/demeurant\s+(\d{1,4})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+?),\s*(\d{2}\s?\d{3})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+)/gi,
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/demeurant\s+(\d{1,4})\s+([A-Za-zÀ-ÖØ-öø-ÿ\s\-']+?),\s*(\d{5})\s+([A-Za-zÀ-ÖØ-öø-ÿ\-\s]{2,})(?:\b(France)\b)?/gi,
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// Adresse: 10 rue Exemple, 75001 Paris
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/(Adresse|Siège|Adresse de facturation)\s*:\s*(\d{1,4}\s+[A-Za-zÀ-ÖØ-öø-ÿ\s\-']+,\s*\d{2}\s?\d{3}\s+[A-Za-zÀ-ÖØ-öø-ÿ\s\-']+)/gi,
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/(Adresse|Siège|Adresse de facturation)\s*:\s*(\d{1,4}\s+[A-Za-zÀ-ÖØ-öø-ÿ\s\-']+,\s*\d{5}\s+[A-Za-zÀ-ÖØ-öø-ÿ\-\s]{2,})(?:\b(France)\b)?/gi,
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]
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addressPatterns.forEach((pattern) => {
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for (const match of text.matchAll(pattern)) {
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const street = match[2] || match[1]
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const city = match[4] || match[3]
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const postalCode = (match[3] || match[2] || '').replace(/\s+/g, '')
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const postalCode = (match[3] || '').replace(/\s+/g, '')
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const city = (match[4] || '').replace(/\s+France$/i, '').trim()
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const country = (match[5] || 'France').trim()
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entities.addresses.push({
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id: `address-${(Array.isArray(entities.addresses)?entities.addresses:[]).length}`,
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street: street ? `${street}`.trim() : '',
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city: city ? city.trim() : '',
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postalCode: postalCode ? postalCode.trim() : '',
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country: 'France',
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city: city,
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postalCode: postalCode,
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country: country || 'France',
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confidence: 0.9,
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source: 'rule-based',
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})
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@ -2005,6 +2057,50 @@ app.get('/api/folders/:folderHash/files/:fileHash', (req, res) => {
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}
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})
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// Confirmer (ou corriger) l'adresse détectée pour un fichier
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app.post('/api/folders/:folderHash/files/:fileHash/confirm-address', express.json(), (req, res) => {
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try {
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const { folderHash, fileHash } = req.params
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const { address, confirmed } = req.body || {}
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const cachePath = path.join('cache', folderHash)
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const jsonPath = path.join(cachePath, `${fileHash}.json`)
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if (!fs.existsSync(jsonPath)) {
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return res.status(404).json({ success: false, error: 'Résultat non trouvé' })
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}
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const raw = fs.readFileSync(jsonPath, 'utf8')
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const data = JSON.parse(raw)
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// Mettre à jour la première adresse et marquer la confirmation
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if (confirmed) {
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if (!data.extraction) data.extraction = {}
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if (!data.extraction.entities) data.extraction.entities = {}
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if (!Array.isArray(data.extraction.entities.addresses)) data.extraction.entities.addresses = []
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if (address && typeof address === 'object') {
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data.extraction.entities.addresses[0] = {
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id: data.extraction.entities.addresses[0]?.id || `address-0`,
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type: 'general',
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street: address.street || '',
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city: address.city || '',
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postalCode: address.postalCode || '',
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country: address.country || 'France',
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confidence: 1.0,
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source: 'confirmed',
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}
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}
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if (!data.metadata) data.metadata = {}
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if (!data.metadata.confirmations) data.metadata.confirmations = {}
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data.metadata.confirmations.addressConfirmed = true
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if (data.status && data.status.suggestions) {
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data.status.suggestions.needsAddressConfirmation = false
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}
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fs.writeFileSync(jsonPath, JSON.stringify(data, null, 2))
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return res.json({ success: true })
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}
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return res.status(400).json({ success: false, error: 'Paramètre confirmed manquant' })
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} catch (e) {
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return res.status(500).json({ success: false, error: e?.message || String(e) })
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}
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})
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// Suppression d'un fichier d'un dossier (uploads + cache)
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app.delete('/api/folders/:folderHash/files/:fileHash', (req, res) => {
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try {
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14
docs/annuaire_noms.md
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14
docs/annuaire_noms.md
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## Annuaire de noms (FR et autres)
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- Emplacement: `backend/data/names/`
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- Fichiers CSV/TSV/texte séparés par `,` `;` ou `\t`.
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- Noms de fichiers:
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- `firstnames_fr.csv`, `firstnames_en.csv`, `prenoms_fr.csv`, etc.
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- `lastnames_fr.csv`, `surnames_en.csv`, `noms_fr.csv`, etc.
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- Chargement: automatique au démarrage; normalisation sans accents; ensembles en mémoire.
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- Usage: léger boost de confiance si prénom/nom détectés appartiennent à l’annuaire.
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- Extension multi-langues: ajouter des fichiers `firstnames_<lang>.csv` et `lastnames_<lang>.csv`.
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Impact:
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- Le score `globalConfidence` est augmenté de +5% pour prénom connu, +5% pour nom connu (max +10%).
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- Améliore la décision de re-upload (moins de faux négatifs si noms valides).
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