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15.1.html
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15.1.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Dynamsoft Capture Vision for the Web Step by Step</title>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/dcv.bundle.js"></script>
</head>
<body style="display: flex; flex-direction: row" ;>
<div
id="div-ui-container"
style="width: 30vw; height: 40vh; margin-top: 3vh"
></div>
<div
id="results"
style="
width: 30vw;
min-height: 10vh;
margin-left: 10%;
font-size: 2vh;
overflow: auto;
"
></div>
<script>
Dynamsoft.License.LicenseManager.initLicense(
"DLS2eyJvcmdhbml6YXRpb25JRCI6IjIwMDAwMSJ9"
);
Dynamsoft.Core.CoreModule.loadWasm(["DDN", "DBR", "DLR"]);
(async function () {
/**
* Prepare the image source
*/
const cameraViewContainer = document.querySelector("#div-ui-container");
const view = await Dynamsoft.DCE.CameraView.createInstance();
cameraEnhancer = await Dynamsoft.DCE.CameraEnhancer.createInstance(
view
);
cameraViewContainer.append(view.getUIElement());
/**
* Prepare The code parser.
*/
await Dynamsoft.DCP.CodeParserModule.loadSpec("MRTD_TD3_PASSPORT");
parser = await Dynamsoft.DCP.CodeParser.createInstance();
router = await Dynamsoft.CVR.CaptureVisionRouter.createInstance();
/**
* Connect the image source
*/
router.setInput(cameraEnhancer);
/**
* Define a result receiver
*/
resultReceiver = new Dynamsoft.CVR.CapturedResultReceiver();
resultReceiver.onCapturedResultReceived = (result) => {
let textlines = result.items.filter(
(item) =>
item.type ===
Dynamsoft.Core.EnumCapturedResultItemType.CRIT_TEXT_LINE
);
for (let line of textlines) parseMRZ(line.text);
normalizedImages = result.items.filter(
(item) =>
item.type ===
Dynamsoft.Core.EnumCapturedResultItemType.CRIT_NORMALIZED_IMAGE
);
for (let image of normalizedImages) {
let canvas = image.toCanvas();
let cvs = document.body.childNodes.item(
document.body.childNodes.length - 1
);
if (canvas.width > 1000 && canvas.height > 800) {
if (cvs.tagName == "CANVAS") document.body.removeChild(cvs);
canvas.style.width = "30vw";
document.body.appendChild(canvas);
}
}
};
/**
* Register the result receiver
*/
router.addResultReceiver(resultReceiver);
/**
* MRZ is not a built-in template, therefore we need to use a customized one
*/
await router.initSettings(
"customized.json"
);
/**
* Start image processing
*/
router.startCapturing("DoThreeThings");
/**
* Activate the image source.
*/
cameraEnhancer.open();
})();
const resultsContainer = document.querySelector("#results");
async function parseMRZ(passportMRZStr) {
let parsedResultItem = await parser.parse(passportMRZStr);
console.log("parsedResultItem: ", parsedResultItem);
if (!parsedResultItem.exception) {
let parsedResult = JSON.parse(parsedResultItem.jsonString);
let parsedLines = parsedResult.ResultInfo;
resultsContainer.innerHTML = "";
parsedLines.forEach((element) => {
element.ChildFields[0].forEach((childElement) => {
resultsContainer.innerHTML += `${childElement.FieldName}: ${childElement.Value}<br>`;
});
});
} else {
console.log(parsedResultItem.exception);
}
}
</script>
</body>
</html>