Abstract
In this paper we explore content based image retrieval to identify mental disorder based on face expression the compressed domain. The work was conducted by constructing an application or tool which automatically detect and recognize someone experienced mental disorder based on face recognition. In this research we used more than 50,000 face images which consist of normal face expression with smile, sad, laugh,and angry expression. We wrote two face detection and face recognition algorithms to decide whether someone suffered or not. This work was carried out to built an automatic tool of face detection and recognition very fast and accurately. Face detection done to separate between face area and non face area in order focus on face recognition. In this work we used face image with normal pose without obstacles and facing toward with 90 degree. In the experiments we applied more than 150 queries which 50 images from each category of total of two categories mental disorder. Our algorithms demonstrate good effectives of image retrieval in term of Precision and recall.
Highlights
Face recognition and face exspression detection are which area interest of many researchers in the area of image analysis, pattern recognition, and biometrics. [1,4,6,7]
Face recognition is a complex pattern recognition, it is considered as multi dimentional classification process and signal matching
Face image database constructed in the range of between 50,000 images and is composed of several normal face image, the image database is equipped with face images from mental disorder hospital
Summary
Face recognition and face exspression detection are which area interest of many researchers in the area of image analysis, pattern recognition, and biometrics. [1,4,6,7]. Face recognition and face exspression detection are which area interest of many researchers in the area of image analysis, pattern recognition, and biometrics. Face recognition is a complex pattern recognition, it is considered as multi dimentional classification process and signal matching. Face recognition can be clasificied into two categories feature based and template based. Feature based known as geometric based whilst template based known as photometric based [13]. This work applied to face face detection from the more than 50,000 face images. The system can be used to detect whether one’s expericed of mental disorder not. We applied several face images with smile, angry, sad, scary, and laugh face expressions
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
