• Prof. Dr. Vijay Gaikwad
• Ankur Bhattad
• Shraddha Gupte
• Anant Gavali

Face recognition from image or video is a popular topic in bio-metrics research. Many public places usually have surveillance cameras for video capture and these cameras have their significant value for security purpose. It is widely acknowledged that the face recognition has played an important role in surveillance system as it doesn’t need the object’s cooperation. The actual advantages of face based identification over other bio-metrics are uniqueness and acceptance. As human face is a dynamic object having high degree of variability in its appearance, that makes face detection a difficult problem in computer vision. In this field, accuracy and speed of identification is a main issue. In this paper we have introduced a technique to recognize faces using Adaboost Haar cascade classifier and HOG descriptor. We have achieved an accuracy of 84% for face recognition over a database of 200 images.

Haar, Adaboost, HOG, face detection, face recognition.

"Face Recognition Using Haar Cascade and HOG.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.113-118, January-2019, Available :http://www.jetir.org/papers/JETIR1901216.pdf

"Face Recognition Using Haar Cascade and HOG.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp113-118, January-2019, Available at : http://www.jetir.org/papers/JETIR1901216.pdf