Review on Digital Image Processing Techniques for Face Recognition


In the world of advancement, security is an important aspect of everyone's life. Personal data is easily accessed by hackers. This kind of problem can be reduced by using biometric access. Fingerprint, voice recognition, iris recognition, face recognition, and dental data is the few biometric techniques that provide end to end security between the user and service provider. Digital image processing plays a major role in this biometric recognition technique. Advancement in the digital image processing technique with the intellectual computer allows the researcher to work on this recognition technique. All recognition techniques have its merit and demerits. Face recognition is the most preferred technique which is not only providing secure access and also helpful to limit unauthorized access. Nowadays, social sites are using this technique to identify the user. If one photo is uploaded on the website immediately it matches the images with the database and helps the user to tag their friends. Advanced applications help the user by capturing their mood and play the songs, images, and so on. In this work, the basic image processing techniques to advance image processing techniques in face recognition are presented in a meaningful way. It will be useful for beginners, and researchers who want to work in face recognition techniques.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL