Nose Detection in the Human Face

Qais AL-Khalidi, Farah

	Nose Detection in the Human Face
Iraqi Journal of Information Technology
Article 1, Volume 7, Issue 3, 2017, Pages 55-66
Author
Farah Qais AL-Khalidi
Abstract
Face detection and face features extraction looks very excited, as it’s used in many applications such Facial recognition systems, Biometrics and Human computer interface etc. So it requires face detection process to success these applications. The principle behind detecting the face feature is used to measure the respiration rate in the future as the nose represents the important region in the human face for breathing. The methods are developed as well as the Image processing techniques. They were both used to enhance the images, remove unwanted noise and segmented the ROI. Thresholding, Morphological as well as banalization process were investigated to achieve the aim of the suggested method. Using a skin-color segmentation and image processing techniques to detect the human face as elliptic area. Several techniques were applied to identify the nose [the region of interest (ROI)] in the elliptic area. Edge detection to the elliptic area of the human face was applied. The investigation for looking for the longest vertical line in the elliptical area was achieved. This vertical line represents the center of the nose region (ROI). Detect the nose as a rectangle region was also investigated and then determined this region (ROI) in the human face. Segmenting the ROI was considered an important task in this method based on detecting the human face as well as extracting the facial features. Further work is in progress to enhance the algorithm so that it can be used to detect the mouth and eyes regions.
Keywords
Region of interest; imaging processing; facial features

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