Assisting blind using facial recognition techniques

"Face Recognition" is a very active area in the MATLAB and Biometrics fields, as it has been studied vigorously for 25 years and is finally producing applications in security, robotics, human-computer-interfaces, digital cameras, games and entertainment. These types of systems have been grabbing high attention from commercial market point of view as well as pattern recognition field. It has received substantial attention from researches in biometrics, pattern recognition field and in MATLAB communities. The system can extract the features of face and compare this with the existing database. The faces considered here for comparison are still faces. Machine recognition of faces from still and video images is emerging as an active research area. The project is formulated based on video images captured by a web cam. The system detects only the faces from the image scene, extracts the descriptive features. It later compares with the database of faces, which is collection of faces in different poses. The present system is trained with the database, where the images are taken in different poses, with glasses, with and without beard.

Autorentext
Chaudhary, Apoorva
Apoorva Chaudhary working as an Assistant Professor with Amity University Gurgaon for last 5 years in the field of Biomedical Engineering.

Klappentext

"Face Recognition" is a very active area in the MATLAB and Biometrics fields, as it has been studied vigorously for 25 years and is finally producing applications in security, robotics, human-computer-interfaces, digital cameras, games and entertainment. These types of systems have been grabbing high attention from commercial market point of view as well as pattern recognition field. It has received substantial attention from researches in biometrics, pattern recognition field and in MATLAB communities. The system can extract the features of face and compare this with the existing database. The faces considered here for comparison are still faces. Machine recognition of faces from still and video images is emerging as an active research area. The project is formulated based on video images captured by a web cam. The system detects only the faces from the image scene, extracts the descriptive features. It later compares with the database of faces, which is collection of faces in different poses. The present system is trained with the database, where the images are taken in different poses, with glasses, with and without beard.