Face Recognition Image Processing

Face Recognition Image Processing has several techniques for facial recognition. Both systems are large fields of study. Hence, it has broad parts to describe the image processing fields. To mention, it is nothing but the pixel-wise transformations. It is a way of mapping a source image to a destination image. A computer vision automatically extracts a meaningful information from images. To know about the face recognition, the mapping of face to the famous identity required in the database.

What is Image Processing?

In general, it is a mature field relatively compared to computer vision system. The great example is face recognition technique in image processing. This field of image processing involves things like frequency convolutions, spatial domains with the use of various transformations. Like Discrete Fourier transform or Fast Fourier transform to remove certain structures that too in particular frequency range.

As a matter of fact, image processing is a technique that converts an image to a digital form and does required operations on it. To enhance an image or to extract useful information, signal dispensation technique is adopted. The input signal to use can be an image, videos, photos and the result of output is image or features oriented with that image.

Basic Image Processing Steps

• Using Digital Photography, image importing happens through an optical scanner.
• Analysing and manipulating images that involves data compression, image enhancement.
• Obtaining output is the final stage that can alter an image or produce a report based on image analysis.

Purpose of Image Processing

To mention, the purpose of image processing has five divisions. They are

• Visualization – Observe the invisible objects
• Image Sharpening – Betterment of an image
• Image Retrieval – Explore the interesting image
• Pattern Measurement – Measures several objects in an image
• Image Recognition – Differentiate the objects in an image

Face Recognition Image Processing

Though it is not the future technology, it is already in our present. Many startups and corporations use this image recognition technology. To explain, it is the way of searching that automate the required jobs in which the human visual system. Over the years, multiple projects implemented incorporates that includes e-commerce web and mobile apps for the desired clients.

In fact, it is a category comes under biometric software that used to map an individual’s facial identity and stores the data in image processing projects. It is also used in fingerprint technology to code the person’s identity to allow the exact authorize one to access. In this technique, high-quality cameras are used for an identification and authentication purposes. To state, this feature is almost applied in all the latest mobile phones to access the mobile. Either using the person’s face ID or fingerprint mapping through a mobile camera to unlock the devices. For this purpose, the face recognition used in the image processing projects.

The process behind Facial Recognition

In biometric facial recognition, several stages of image processing projects work under mathematical algorithms. Those stages are mention as follows.

Capture

During the period of time, the predetermined conditions to collect physical or behavioral samples.

Extraction

After that capture, extraction of all these gathered data takes place to create templates based on the image collected.

Comparison

Then, the comparison happens with the collected data with the existing templates.

Matching

This is the final stage of face identification process. In order to make a decision, it usually takes just a few seconds to analyze and match the data.

How Benefit is facial recognition?

When face tracking system installed, there are some of the key benefits to improve the technology.

1. Security level Improvement – unauthorized entry will recognize and alert the trespassers.
2. Easy Integration – Interaction among company’s computer system made easy.
3. High Accuracy – only right person recognized at the right time without misunderstandings.
4. Full Automation – Automates the entire identification process without any haltings.
5. Time Attendance Tracking – Identifies the time fraud who violates the work ethics.

Thus, to conclude trying out a new concept with several merits is a great step towards the successful project. So, this image processing project with video tutorials helps to know the concept in an elaborate manner. That makes an easy understanding to capture the technical knowledge. Likewise many androids, mobile computing, data mining projects, power electronics, networking project available online to learn many trends with modern technologies.

Posted by Myproject Bazaar in Blog, DIP Projects Using Matlab Tags: Image Processing Projects, Instant Image Processing Projects, Online Image Processing