Mental Disorder Recognition Using Face Based Image Retrieval Technique In The Compressed Domain
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 12, Issue 1
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.
Authors and Affiliations
Suhendro Yusuf Irianto, Sri Lestari, Fitria Fitria
Keywords
Related Articles
- EP ID EP650396
- DOI 10.24297/ijct.v12i1.3361
- Views 73
- Downloads 0
Delay analysis of multihop wireless ad hoc network using queuing network model
Ad hoc wireless network is a self configurable infrastructure less network. The lack of infrastructure support in ad hoc networks makes them useful in various applications such as at the disaster site, highway, vast fore...
A Novel Way to Detect Hard Exudates Using Dynamic Thresholding Technique in Digital Retinal Fundus Image
Diabetic retinopathy is considered to be one of the major causes of blindness among diabetes mellitus patients. Due to diabetic retinopathy blood vessels of retina gets damaged and fat, lipoprotein substances gets leaked...
An English -Arabic Real Time System (EARS)
Researchers, international traders, and politicians necessitate a common interactive language to deal and keep their work secure. Using a direct language translator enables customers to deal with others, each one uses hi...
Mental Disorder Recognition Using Face Based Image Retrieval Technique In The Compressed Domain
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...
A Novel LAS-Relief Feature Selection Algorithm for Enhancing Classification Accuracy in Data mining
Feature selection is an important task in data mining and machine learning domain. The main objective of feature selection is to find a relevant feature that predicts the knowledge better than the original set of feature...