242 lines
7.7 KiB
JavaScript
242 lines
7.7 KiB
JavaScript
// const express = require('express');
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// const multer = require('multer');
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// const path = require('path');
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// const fs = require('fs');
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// const sharp = require('sharp');
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// const tesseract = require('tesseract.js');
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// const axios = require('axios');
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// const router = express.Router();
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// // Create the upload folder if it doesn't exist
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// const uploadPath = path.join(__dirname, "../uploads/pan");
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// if (!fs.existsSync(uploadPath)) {
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// fs.mkdirSync(uploadPath, { recursive: true });
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// }
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// // Set up multer storage
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// const storage = multer.diskStorage({
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// destination: function (req, file, cb) {
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// cb(null, uploadPath);
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// },
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// filename: function (req, file, cb) {
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// const uniqueName = `${Date.now()}-${file.originalname}`;
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// cb(null, uniqueName);
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// }
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// });
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// // Accept only one file with field name 'panImage'
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// const upload = multer({
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// storage: storage,
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// limits: { fileSize: 5 * 1024 * 1024 }, // 5MB max
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// }).single('panImage');
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// // Preprocess the image (convert to grayscale and increase contrast)
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// async function preprocessImage(imagePath) {
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// const outputPath = imagePath.replace('.jpeg', '-processed.jpeg'); // New path for the processed image
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// await sharp(imagePath)
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// .resize(800) // Resize the image for better OCR accuracy
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// .grayscale() // Convert to grayscale
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// .normalize() // Enhance contrast
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// .toFile(outputPath);
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// return outputPath;
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// }
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// router.post('/api/verify-pan', (req, res) => {
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// upload(req, res, async function (err) {
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// if (err instanceof multer.MulterError) {
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// console.error('Multer error:', err);
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// return res.status(400).json({ error: 'Multer error', detail: err.message });
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// } else if (err) {
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// console.error('Unknown error:', err);
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// return res.status(500).json({ error: 'Unknown error', detail: err.message });
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// }
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// if (!req.file) {
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// return res.status(400).json({ error: 'No PAN image uploaded' });
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// }
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// const { pan } = req.body;
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// if (!pan) {
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// return res.status(400).json({ error: 'PAN number is required' });
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// }
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// console.log('Received PAN:', pan);
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// console.log('Saved file path:', req.file.path);
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// try {
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// // Preprocess the image
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// const processedImagePath = await preprocessImage(req.file.path);
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// // Run OCR on the preprocessed image
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// const { data: { text } } = await tesseract.recognize(
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// processedImagePath,
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// 'eng', // English language
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// {
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// logger: (m) => console.log(m),
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// }
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// );
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// console.log('Extracted text from image:', text);
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// if (!text || text.trim().length === 0) {
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// return res.status(400).json({ error: 'Failed to extract text from image' });
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// }
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// // Clean up extracted text and PAN number
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// const cleanedExtractedText = text.replace(/\s+/g, '').toUpperCase();
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// const cleanedPanNumber = pan.replace(/\s+/g, '').toUpperCase();
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// const matchedPANs = cleanedExtractedText.match(/[A-Z]{5}[0-9]{4}[A-Z]/g) || [];
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// console.log("Extracted PAN candidates:", matchedPANs);
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// if (matchedPANs.includes(cleanedPanNumber)) {
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// return res.status(200).json({
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// verified: true,
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// message: 'PAN verified successfully',
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// pan,
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// imageUrl: `/uploads/pan/${req.file.filename}`,
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// });
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// } else {
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// return res.status(400).json({
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// error: true,
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// verified: false,
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// message: 'PAN mismatch',
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// pan,
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// imageUrl: `/uploads/pan/${req.file.filename}`,
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// });
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// }
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// } catch (error) {
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// console.error('Error during OCR:', error);
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// return res.status(500).json({ error: 'Error during OCR', detail: error.message });
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// }
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// });
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// });
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// module.exports = router;
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const express = require('express');
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const multer = require('multer');
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const path = require('path');
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const fs = require('fs');
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const sharp = require('sharp');
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const tesseract = require('tesseract.js');
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const router = express.Router();
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// Create the upload folder if it doesn't exist
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const uploadPath = path.join(__dirname, "../uploads/pan");
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if (!fs.existsSync(uploadPath)) {
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fs.mkdirSync(uploadPath, { recursive: true });
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}
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// Set up multer storage
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const storage = multer.diskStorage({
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destination: function (req, file, cb) {
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cb(null, uploadPath); // Destination folder for uploaded files
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},
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filename: function (req, file, cb) {
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const uniqueName = `${Date.now()}-${file.originalname}`;
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cb(null, uniqueName); // Store files with a unique name
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}
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});
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// Accept only one file with the field name 'panImage'
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const upload = multer({
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storage: storage,
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limits: { fileSize: 5 * 1024 * 1024 }, // 5MB max
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}).single('panImage');
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// Preprocess the image (convert to grayscale and enhance contrast)
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async function preprocessImage(imagePath) {
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const outputPath = imagePath.replace('.jpeg', '-processed.jpeg'); // Processed image path
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await sharp(imagePath)
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.resize(800) // Resize image for better OCR accuracy
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.grayscale() // Convert to grayscale
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.normalize() // Enhance contrast
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.toFile(outputPath); // Save processed image
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return outputPath;
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}
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// PAN verification API endpoint
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router.post('/api/verify-pan', (req, res) => {
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upload(req, res, async function (err) {
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// Handle multer errors
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if (err instanceof multer.MulterError) {
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console.error('Multer error:', err);
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return res.status(400).json({ error: 'Multer error', detail: err.message });
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} else if (err) {
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console.error('Unknown error:', err);
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return res.status(500).json({ error: 'Unknown error', detail: err.message });
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}
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if (!req.file) {
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return res.status(400).json({ error: 'No PAN image uploaded' });
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}
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const { pan } = req.body;
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if (!pan) {
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return res.status(400).json({ error: 'PAN number is required' });
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}
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console.log('Received PAN:', pan);
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console.log('Saved file path:', req.file.path);
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try {
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// Preprocess the image before running OCR
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const processedImagePath = await preprocessImage(req.file.path);
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// Run OCR to extract text from the image
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const { data: { text } } = await tesseract.recognize(
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processedImagePath,
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'eng', // Use English for OCR
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{
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logger: (m) => console.log(m), // Optional: log progress
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}
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);
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console.log('Extracted text from image:', text);
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// Ensure the extracted text is valid
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if (!text || text.trim().length === 0) {
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return res.status(400).json({ error: 'Failed to extract text from image' });
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}
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// Clean up extracted text and compare with the provided PAN number
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const cleanedExtractedText = text.replace(/\s+/g, '').toUpperCase();
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const cleanedPanNumber = pan.replace(/\s+/g, '').toUpperCase();
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const matchedPANs = cleanedExtractedText.match(/[A-Z]{5}[0-9]{4}[A-Z]/g) || [];
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console.log("Extracted PAN candidates:", matchedPANs);
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// Check if the extracted PAN matches the provided PAN
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if (matchedPANs.includes(cleanedPanNumber)) {
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return res.status(200).json({
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verified: true,
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message: 'PAN verified successfully',
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pan,
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imageUrl: `/uploads/pan/${req.file.filename}`,
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});
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} else {
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return res.status(400).json({
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verified: false,
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message: 'PAN mismatch',
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pan,
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imageUrl: `/uploads/pan/${req.file.filename}`,
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});
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}
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} catch (error) {
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console.error('Error during OCR:', error);
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return res.status(500).json({ error: 'Error during OCR', detail: error.message });
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}
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});
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});
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module.exports = router;
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