Image clickable multiple areas approach

I've just started to learn web development and I have an idea to do the following: Take simple image (jpeg/png) and make some areas of that image clickable (or other events on those areas). For example, when I click on specific area on the image, this area highlights, other part of the image shadows. First what I googled was HTML map/area tags. But I want to know other approaches which I can use to do that. Just give me some keywords, nothing more.

I've just started to learn web development and I have an idea to do the following: Take simple image (jpeg/png) and make some areas of that image clickable (or other events on those areas). For example, when I click on specific area on the image, this area highlights, other part of the image shadows. First what I googled was HTML map/area tags. But I want to know other approaches which I can use to do that. Just give me some keywords, nothing more.

Thanks in advance

How to set up face verification the easy way using HTML5 + JavaScript

How to set up face verification the easy way using HTML5 + JavaScript

<strong>Originally published by </strong><a href="" target="_blank">Matthew Enubuje</a><strong> </strong><em>at&nbsp;</em><a href="" target="_blank"><em>Medium</em></a>

I’ve created a very simple way to face match two images using HTML5 and JavaScript. You upload the verification picture you’d like to use, take a snapshot from the video streaming from your camera/webcam, then use a face matching API to retrieve the results. Simple.

The Github Repo

What You’ll Need:

  • A Webcam/Camera
  • Free Face Recognition API Key
  • Web Server

Before We Begin

Create a Directory For This Project

This directory will be where we put all the files.

Create a Local Web Server

In order to have full control of images, a web server is required otherwise we’d be getting a tainted canvas security error. There are several ways to do this and I’ve listed below how to do it with Python.


cd C:/DIRECTORY_LOCATION & py -m http.server 8000

You should be able to access the directory through http://localhost:8000

Get Your Free API Key

We’re going to be using Facesoft’s face recognition API. Quickly sign up here to access your free API key so you can get unlimited API calls with up to two requests per minute.

Once you’ve logged in, your API key will be visible in the dashboard area.

1. Setup

Create these three files:

  • index.html
  • style.css
  • verify.js

Next right click and save the files below into that directory. These image files will be the default images for uploaded and verification pics.

SAVE AS “defaultupload.png”

SAVE AS “defaultphoto.png”

2. The HTML


Copy and paste the layout code below into your “index.html” file. This gives us our framework and design with the help of bootstrap.

<!DOCTYPE html>
<html lang="en">
  <!-- Required meta tags -->
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
  <link rel="stylesheet" href="" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<!-- Style CSS -->
  <link rel="stylesheet" href="style.css">
<title>Face Verification</title>
  <!-- Page Content -->
  <div class="container">
    <div class="row">
      <div class="col-lg-12 text-center">
        <h1 class="mt-5">Face Verification</h1>
        <p class="lead">Quick and simple face verification using HTML5 and JavaScript</p>
<!-- Verify JS -->
 <script src="verify.js"></script>
<!-- jQuery first, then Popper.js, then Bootstrap JS -->
  <script src="" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script>
  <script src="" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"></script>
  <script src="" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"></script>

Images, Canvases & Buttons

We’re now creating a row and having three columns for the verification photo, the video stream, and the photo taken from the video stream. Add the code below right after the row.

Check for “INSERT NEXT CODE HERE” tag in previous code.

<div class="row justify-content-md-center">
  <div class="col-lg-4 text-center">
    <p><strong>Verification Photo</strong></p>
      <!-- Canvas For Uploaded Image -->
      <canvas id="uploadCanvas" width="300"  height="300"></canvas>
      <!-- Default Canvas Image -->
      <img src="defaultupload.png" id="uploadedPhoto" alt="upload"/>
      <!-- Upload Image Input & Upload Photo Button -->
      <input type="file" name="image-upload" accept="image/png, image/jpeg">
      <button id="upload" type="button" class="btn btn-outline-primary btn-lg">Upload Photo</button>
  <div class="col-lg-4 text-center">
    <!-- Camera -->
    <div class="camera-container">
      <video id="video" width="100%" height="300" autoplay="true">
    <!-- Take Photo Button -->
    <button id="capture" type="button" class="btn btn-outline-primary btn-lg">Take Photo</button>
  <div class="col-lg-4 text-center">
    <p><strong>Photo Taken</strong></p>
    <!-- Canvas For Capture Taken -->
    <canvas id="captureCanvas" width="300"  height="300"></canvas>
    <!-- Default Canvas Image -->
    <img src="defaultphoto.png" id="capturedPhoto" alt="capture" />
    <!-- Verify Photos Button -->
    <button id="verify" type="button" class="btn btn-outline-success btn-lg">Verify Photo</button>

API Response and Warnings

The code we’re going to add is to display the match result, score percentage, errors and warnings. Right under the last code we added, add the code below.

<div class="row">
  <div class="col-lg-12 text-center">
    <!-- API Match Result & API Percentage Score -->
    <h2 id="match" class="mt-5"></h2>
    <p id="score" class="lead"></p>
  <div class="col-lg-12 text-center">
    <!-- Error & Warning Alerts -->
    <div class="alert alert-danger" id="errorAlert"></div>
    <div class="alert alert-warning" id="warningAlert"></div>

3. The CSS

Add the code below to your style.css file.

.camera-container {
  max-width: 100%;
  border: 1px solid black;
.verification-image {
  width: 300px;
  height: auto;
  max-width: 100%;
.btn {
  margin-top: 10px;
#captureCanvas, #uploadCanvas {
  display: none;
input[name="image-upload"] {
  display: none;
#errorAlert, #warningAlert {
  display: none;

We’ve set the image upload input to display none as we’ll be triggering it using the upload button. Also, the IDs for the canvases have been set to display none so the default images are initially displayed.

Here is what your screen should look like:

4. The JavaScript

document.addEventListener("DOMContentLoaded", function() {

In the verify.js file we want to start off by adding an event listener that will run after the page loads. Every code we enter should be inside this function.


var video = document.getElementById('video'), 
captureCanvas = document.getElementById('captureCanvas'), 
uploadCanvas = document.getElementById('uploadCanvas'), 
captureContext = captureCanvas.getContext('2d'),
uploadContext = uploadCanvas.getContext('2d'),
uploadedPhoto = document.getElementById('uploadedPhoto'),
capturedPhoto = document.getElementById('capturedPhoto'),
imageUploadInput = document.querySelector('[name="image-upload"]'),
errorAlert = document.getElementById('errorAlert'), AlertwarningAlert = document.getElementById('warningAlert'),
matchText = document.getElementById('match'),
scoreText = document.getElementById('score');

The variables are:

  • IDs for the video element, canvases, photos & API response
  • Selector for image input
  • Canvas contexts
  • API key

Video Stream

Here is a very simple code to access your webcam/camera and stream it into the video element. Add underneath variables.

// Stream Camera To Video Element
  navigator.mediaDevices.getUserMedia({ video: true })
  .then(function(stream) {
    video.srcObject = stream;
  }).catch(function(error) {

If you refresh your page, this is what you’ll see:


Function 1: Set Photo To Canvas

// Set Photo To Canvas Function
function setImageToCanvas(image, id, canvas, context, width=image.width, height=image.height) {
  var ratio = width / height;
  var newWidth = canvas.width;
  var newHeight = newWidth / ratio;
  if (newHeight > canvas.height) {
    newHeight = canvas.height;
    newWidth = newHeight * ratio;
  context.clearRect(0, 0, canvas.width, canvas.height);
  context.drawImage(image, 0, 0, newWidth, newHeight);
  id.setAttribute('src', canvas.toDataURL('image/png'));

In this function, we take in the image, id, canvas, context, width and height. We take in the width and height because to get the dimensions of the video, we must use video.videoWidth & video.videoHeight.

We also get the aspect ratio of the image so that when we assign an image, it fits right into the canvas. The rest of the code clears the canvas and draws the new image into the canvas.

Function 2: Verify If The Photos Match By Sending Them To The API.

// Facesoft Face Match API Function
function verifyImages(image1, image2, callback){
  var params = {
    image1: image1,
    image2: image2,
  var xhr = new XMLHttpRequest();"POST", "");
  xhr.setRequestHeader("apikey", apiKey);
  xhr.setRequestHeader("Content-Type", "application/json;charset=UTF-8");
  xhr.onload = function(){

In this function we make an XMLHttpRequest to the face match API endpoint. We’ve added the API key for authorisation and content type into the header. For the body we’re passing in an object containing the two images.

Now we’re done with functions :)

Upload Photo Button Click Event

// On Upload Photo Button Click
document.getElementById('upload').addEventListener('click', function(){;

This click event listener for the upload button triggers a click for the image input.

Image Upload Input Change Event

// On Uploaded Photo Change
imageUploadInput.addEventListener('change', function(){
  // Get File Extension
  var ext = imageUploadInput.files[0]['name'].substring(imageUploadInput.files[0]['name'].lastIndexOf('.') + 1).toLowerCase();
  // If File Exists & Image
  if (imageUploadInput.files && imageUploadInput.files[0] && (ext == "png" || ext == "jpeg" || ext == "jpg")) {
    // Set Photo To Canvas
    var reader = new FileReader();
    reader.onload = function (e) {
      var img = new Image();
      img.src =;
      img.onload = function() {
      setImageToCanvas(img, uploadedPhoto, uploadCanvas, uploadContext);

In this change event listener, we retrieve the file extension and perform an if statement to check if there is an image file in the input. Then we use FileReader to load the image onto the canvas.

Take Photo Button Click Event

// On Take Photo Button Click
document.getElementById('capture').addEventListener('click', function(){
  setImageToCanvas(video, capturedPhoto, captureCanvas, captureContext, video.videoWidth, video.videoHeight);

This event listener now executes the set image to canvas to capture a still frame from the video and assign it into a canvas.

Verify Photo Button Click Event

// On Verify Photo Button Click
document.getElementById('verify').addEventListener('click', function(){
  // Remove Results & Alerts = "none"; = "none";
  matchText.innerHTML = "";
  scoreText.innerHTML = "";
  // Get Base64
  var image1 = captureCanvas.toDataURL().split(',')[1];
  var image2 = uploadCanvas.toDataURL().split(',')[1]; 
  // Verify if images are of the same person
  verifyImages(image1, image2, function(response){
      var obj = JSON.parse(response);
      // If Warning Message
      if(obj.message){ = "none"; = "block";
        warningAlert.innerHTML = obj.message;
        matchText.innerHTML = "";
        scoreText.innerHTML = "";
      // If Error
      else if(obj.error){ = "block";
        errorAlert.innerHTML = obj.error; = "none";
        matchText.innerHTML = "";
        scoreText.innerHTML = "";
      // If Valid
      else{ = "none"; = "none";
        matchText.innerHTML = obj.match;
        scoreText.innerHTML = (obj.score*100).toFixed(2)+"% Score";

In this event, we first hide the error/warning alerts and remove any text from the match result and score percentage.

We then get the base64 of the images from the canvases and use the split method to only get the part without “ data:image/png;base64” so the API won’t return an error.

Lastly, we call the verify images function to send the data to the API and our response will be an object either containing the results, an error, or a message.

Final Code

// Set Default Images For Uploaded & Captured Photo
setImageToCanvas(uploadedPhoto, uploadedPhoto, uploadCanvas, uploadContext);
setImageToCanvas(capturedPhoto, capturedPhoto, captureCanvas, captureContext);

This will allow us to verify the default images by assigning them to their canvas.

5. The Rock vs Dwayne Johnson

If you click verify we shall now see if the API can tell the difference between The Rock at a young age and Dwayne Johnson we usually see in films…

The API correctly identifies the 2 as the same with a 96.53% match score!

Upload, Capture, Verify

In Closing

You should now be able to think of better, secure and more complex ways to implement face matching such as logging in, 2FA, authorisation, payments etc.

Accuracy & Reliability?

The results for the best face recognition algorithm in the world came out. The algorithm we’re using came in the top 10 beating Toshiba, Microsoft & VisionLabs, and came 2nd worldwide in the wild image test (detection at difficult angles).

Learn HTML5 Canvas - DRAW - HTML & JavaScript

Learn HTML5 Canvas - DRAW - HTML & JavaScript

We go over the basics of the HTML5 Canvas element and use JavaScript to draw lines, circles, squares and rectangles to the DOMs Canvas. JavaScript combined with HTML5 Canvas can be used to draw elements anywhere you want inside of the HTML5 Canvas. We learn the basics in a simple how to video but in the next part we will look how to animate the HTML5 Canvas using JavaScript to change the X & Y coordinates of shapes we create. We will follow an Object Oriented Programming pattern.

Top 7 JavaScript Projects on GitHub

Top 7 JavaScript Projects on GitHub

Top 7 JavaScript Projects on GitHub. A progressive, incrementally-adoptable JavaScript framework for building UI on the web. Read on to find your next favorite framework!

JavaScript was originally known only for developing the client side of web pages, and as new frameworks have been developed for server-side purposes, it is no surprise that JavaScript has become one of the most popular programming languages in the world today.

With the increase in the number of programmers learning to code in JavaScript, the development of great projects has been on the rise as well.

1. React.js

JavaScript is known mainly for client-side projects and React.js is an example of a framework for developing great front-end designs and interactions. Created by Facebook, React is a library that is used for creating powerful reusable UI components.

One of the positives of using React is that it hides away complexity by using a virtual DOM which helps improve applications' performance. Features of React include the JavaScript syntax extension, unidirectional data flow, components, and much more.

Learning React is pretty easy if you have a good grasp of JavaScript. You can access the tutorial from the React.js website. Installation and setup of React is pretty easy.

npm install -g create-react-app

create-react-app my-app

cd my-app

npm start 

2. Vue.js

Just like React, Vue is another framework for building lovely user interfaces. This progressive framework is designed to be easily adaptable as time passes, this makes the library easy to integrate with other projects and use anytime.

Vue.js is known widely for its simplicity and, besides that, it is lightweight, well documented, and allows for flexibility during development. Vue encourages developers to write "simple JavaScript," therefore, it is easy for beginners to pick up.

Looking for a guide? Here is one from the developers themselves. Vue is pretty easy to install and setup.

_npm install -g vue-cli_

_vue init webpack my-app_

_cd my-app_

_npm install_

_npm run dev_

3. Node.js

Here is one of the best ever frameworks for server-side development, and the which gave JavaScript its popularity with server-side scripting projects.

Node.js has brought about the package management tool NPM which has helped make life easier for lots of developers. Developers also love that it provides a non-blocking I/O model, can be used to develop real-time web applications, is easy to learn, and has a large community.

The installation process for Node is different on Windows and Linux. For Windows, a simple download and install of the Node.js executable application would suffice.

For Linux, the following Linux terminal command would get it installed:

sudo apt-get update

sudo apt-get install nodejs

After installation, the following command should be run to confirm a successful installation.

node -v

4. HTML5

The development of web pages has become more complicated over time. With productivity at stake, reduction of routine tasks is of high importance.

With the HTML5 Boilerplate project, development becomes a more enjoyable process. This is the most popular frontend boilerplate framework you will find, as it helps build fast, robust and adaptable web applications.

It includes Normalize.css, jQuery, a custom build of the Modernizr face detection library, and provides high performance to top it all off.

The HTML5 Boilerplate framework can be downloaded from their GitHub page.

5. Three.js

There are a few 3D computer graphics frameworks, and Three.js is one of them. Three.js is used to create beautiful 3D computer graphics in web browsers by utilizing the WebGL engine.

Three.js comes with a bunch of features. Features such as effects and scenes, camera, animations such as skinned mesh and morph blend mesh, lights, etc. have helped it gain popularity.

Its large community of developers and users is an immense positive, so you can expect stable improvements on this project.

Three.js is easy to install and can be downloaded from the GitHub page.

6. MeteorJS

In terms of frameworks for building applications for all platforms, MeteorJS is one of the best you will ever find.

MeteorJS allows for real-time web development, makes for easy development of the client side, server side, and the database of applications much easier, it is easy to code in and pick up for beginners, and also has a huge developer community.

Looking for a guide? Here is one written by the developers of Meteor.

Meteor is easily installed, and running the terminal command below will do the job.

sudo curl | sh

To check if the installation was successful, use the command below:

meteor --version

7. Express.js

Earlier in the article, we talked about the Node.js framework. Express was actually built upon Node.js!

Express.js is a flexible Node.js-based web application framework used for developing quality web and mobile applications.

Used for building web applications and APIs, Express.js has become very popular in the JavaScript community. If you have been in the business for a while, you most likely would have heard of the MEAN stack - Express makes up the backend part of that stack.

Express makes the development process faster, it's easy to configure and customize, can be integrated with a ton of template engines, and doesn't make a connection to databases a hassle.

Since Express is built on Node.js, it can be installed using the NPM tool.

npm init

Then to install and add Express to the list of dependencies:

npm install express --save

Or to install without adding Express to the list of dependencies:

npm install express --no-save

What project do you think should have made the list? What project do you use the most? Let us know your views.

Thank for reading !