Automated Personology

dc.contributor.author	Farwa Abbas, 01-233091-018
dc.contributor.author	Waseem Nawaz, 01-233091-021
dc.date.accessioned	2017-05-11T07:03:48Z
dc.date.available	2017-05-11T07:03:48Z
dc.date.issued	2013
dc.identifier.uri	http://hdl.handle.net/123456789/570
dc.description	Supervised by Mrs. Sumaira Kausar	en_US
dc.description.abstract	Personology is a research based field which specifies the character and personality of a person, on the basis of his/her physical structure in the context of psychology. We present the automation of Personology using the image processing and machine learning techniques. The most significant features to determine the personality of person are face and eyes which have been mentioned in this thesis. Using the proposed image processing algorithms, human face and eyes have been detected and extracted for analyzing their characteristics, which are required to define the personality of a person. After which the classification of features has been done using the novel machine learning algorithm.	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-3318
dc.subject	Computer Sciences.	en_US
dc.title	Automated Personology	en_US
dc.type	Project Reports	en_US