Human character recognition application based on facial feature using face detection

Predicting the Sixteen Personality Factors (16PF) of an individual by analyzing facial features

“…Our current work, therefore, offers 10% better prediction accuracy compared to the one conducted by Chin et al [22] using the MBTI instrument. Compared to the work of Setyadi et al [4] that evaluates the four temperaments based on facial features, our system offers similar results Table 6 Relationships between high-level AUs and high 16PF traits' prediction accuracy but on a far more complex task. Similarly, compared to the work of Teijeiro-Mosquera et al [20] which evaluate the FFM personality traits using CERT, our results are better with up to 5%, but lower than the results obtained in our previous work [21] where the FFM personality traits are evaluated on the same database.…”

“…Setyadi et al [4] propose the use of Artificial Neural Networks (ANNs) trained via backpropagation for predicting the four fundamental temperaments (sanguine, choleric, melancholic, and phlegmatic) by analyzing a set of facial features: the dimension of the eyes, the distance between two opposite corners of the eyes, the width of the nose, mouth and eyes, and the thickness of the lower lip. An overall prediction accuracy of 42.5% is achieved, mainly because of low-personality prediction rates for choleric and phlegmatic types.…”

“…Egyptians believed that the human face proportions are closely linked to consciousness and how feelings are expressed, while in Chinese culture, the facial structure played a major role in Daoist philosophy and was thought to reveal information about the mental and physical state of an individual [1]. Although this practice was disputed throughout the Middle Ages and up until the nineteenth century, it has regained interest in the latest years, and several recent studies showed that facial appearance is indeed linked to different psychological processes and behaviors [2][3][4]. Recent research showed that people's evaluation of others is also closely related to their physical appearance, as we tend to interact with other people based on our first impression [5], and this first impression is in many ways influenced by the appearance of the people we interact with [6].…”

“…Although at first focused on predicting the emotional state of people [12,13], as Facial Expression Recognition (FER) systems gained momentum and started achieving acceptable prediction accuracy, recent research papers have begun using facial features analysis for more complex tasks, such as tracking and predicting eye gaze [14,15], predicting driver attention for car accident prevention [14,16], predicting stress levels [2,17], diagnosing depression [3], assessing the facial attractiveness of individuals [18], evaluating people's trust [19], and predicting personality traits [4,[20][21][22][23]. All these research studies showed that the face indeed conveys information that can be analyzed to predict different psychological features of an individual.…”

A Review of Person Recognition Based on Face Model

“…Sometimes person face might be invisible. Therefore, face recognition system provides the researchers the opportunity to invent a new method to solve these drawbacks, which will enhance security and help in discovering new optimization techniques for face recognition [1]- [3]. The idea behind the face recognition system is to determine the known and unknown faces, so a face recognition system is basically, use pattern recognition.…”