Abstract— In this paper, an approach for gender classification is carried out combining frontal face images, Haar cascades, Histogram of Oriented Gradients and Support Vector Machines. The comparison of the existing methods that delves into the effects of Haar Cascade Classifier and Histogram of Oriented Gradients(HOG) for Face Detection and the use of Support Vector Machines(SVM) for Gender Classification. A database of 2-D facial images was used, consisting of individual as well as group photographs. These images were used in face detection by Haar classifier and HOG and the results were compared at the end. Further, the detected faces were used to extract primary features on a face, such as, nose, eyes, lips, chin. Feature Extraction is used to calculate ratios, which differ for a Male and a Female. SVM uses these ratios in training and therefore classifying gender. Success ratio for HOG is found to be more than Haar Classifier and high accuracy is achievable with SVM. Keywords— Face Detection, Gender Classification, Haar, HOG, SVM 1. INTRODUCTION This paper presents novel approach to classifying gender from frontal facial images. Gender classification is one of the focuses of Human Computer Interaction (HCI) problem and has many potential applications. When we communicate with other people we process information about the person, such as the expression, gender, ethnicity and age. We hope human machine communication could flow more freely if the computer can comprehend
While reading “Gender,” an essay by Jack Halberstam, the topic of sexism was brought to the forefront of my mind. It has been brought up more often in conversation in the modern era, issues such as how a few cruel insults pertain to female reproductive anatomy and, in a sense, degrade females and ultimately identify them, as well as femininity, as inherently “bad”. Such a thought stemmed from how Halberstam touches on the “problematic stabilization of the meaning of ‘women’ and ‘female’”: meaning there is no room for argument when it comes to your gender—you’re either a girl or not. You either fit into a strict mold, or you do not.
Facial recognition is a technological product of the digital age that is continuing to evolve. The efficiency of the technology is an asset to crime detectives apprehending criminals, or the government tracking suspected terrorists for the safety of the country. It can also be used on a corporate level to allow a business to understand their ideal customer, or to increase the intractability of their website. While these abilities are positives to the people using them, the data collection may be harming more than it is helping. Considering the benefits of facial recognition, it is important for people to see what they are giving up for a more efficient experience. Facial recognition technology forces users to relinquish control of their own
In the present contemporary era, facial recognition technologies are being installed by the companies in an extensive sense that surely reflects a continuum of growing hi-tech superiority and complexity. At the most ordinary level, facial detection is done by this technology which means that a photo is just detected and located for a face ("Facing Facts: Best Practices for Common Uses of Facial Recognition Technologies," 2012).
In adults, three variables were used to test the other-race effect on facial recognition: orientation, face type and ethnicity. Adults at least 18 years of age and older (N = 64) were asked to recognize upright and inverted adult and infant faces. Recognition was tested using a forced-choice procedure. 4 slides were shown during a trial to make sure participants understood the instructions. Next, participants viewed 48 slides with faces alternating between adult female and infant faces; first segment each face was upright, second segment faces were inverted. The results of the study found that there was no significance between race and facial recognition. Other research conducted has shown that race does in fact have a significant effect on facial recognition.
This article argues that the physical appearance not only matters, it is important to our everyday life. It states that we uses some of the physical characteristics, especially facial appearance, to identify certain types of people. It is a survival skill in the case of recognizing criminals ,children, and peers. This is a scholarly research on facial appearance. I can use this to a one of the major point to support my thesis.
In order to expose gender stereotypes and occupational segregation during the war, Esquivel characterizes Gertrudis, Tita’s sister, as a revolutionary woman who defies the domestic sphere. The willingness to help the male soldiers during the war earned the women a title of respect. “Las soldaderas” were women soldiers who fought during the revolution. They were composed of “the widows, wives, daughters and sisters of rebels” (Mexican Revolution). “Las soldaderas” were not only women who fought, but women who aided the revolution at home.
Observe skull sample and record the overall skull size, shape of forehead, supraorbital ridge, mastoid process, orbital shape, nuchal area and occipital protuberance and chin shape. Compare your observations with the information in lab book’s (table 8.1) characteristics to determine sex of the skull.
My family would be considered a middle class family. We are mainly a small farm based family. At this point in time, the farming economy is relatively low compared to the nation’s higher stander of living. As I’ve grown up, I’ve realized that big farmers do very well and it is very hard for small farmers to rise any higher on the totem pole. For the most part, my family is doing well. We are able to receive the health and benefits that we need and my parents have been able to get my siblings and I the items we’ve needed for school, sports, and other things without any trouble. However, we still have to work hard for everything that we do. My parents both have jobs of their own, but have never forced us to get jobs in high school. The income that my parents were making was enough that we weren’t in desperate need of money. My parents believe we will be able to work the rest of our lives. My family’s social class has influenced my future career choice drastically. I’ve decided to pursue a career in the dental field, because I would like to access an upward movement in social mobility as the standard of living rises in the nation.
With the anonymity that the Internet provides it can be difficult to figure out who exactly you are talking to. A new website, hosted on the servers of the author Na Cheng, could be the solution to this problem. It determines your gender by scanning short texts that you input on the website. The program has proven to be 85 percent accurate, and this number will only grow larger thanks to its automated self-improvement system.
The title of the article was Infographic: are women better writers than men? This article was written by Maddie Crum. Crum published this article on the Huffington Post website on 8/14/14 at 1:26 pm EDT. This article was found on Pinterest in the news database.
In I. W. Gregorio’s novel, None of the Above, Krissy is diagnosed with AIS; androgen insensitivity syndrome. Androgen Insensitivity Syndrome, more commonly called AIS, is a genetic condition. It is not a disease, or an infection, although for years those who demonstrate characteristics relating to this condition have been degraded in public. She feels pressured through the gender rules that others have placed on her, and is conflicted with her own gender identity. I argue that this text opposes the gender binary, and challenges
Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.
MFCC and energy-related features are meaningful for gender detection. In combination with other features, energy and MFCCs even play a more important role than pitch. The emotion recognition system is preceded by an automatic gender detection that decides upon which of two gender-dependent emotion classifiers is used to classify an
It is said that gender is the oldest hierarchy in the world. This could mean that gender is the solidest system and archetype in our life. This paper will develop the idea considering certain image shown on a photo.
Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes. Furthermore, extra personal information, like gender, face expressions or age, can be obtained by further analyzing recognition results. Nowadays, face recognition technology has been widely applied to public security, person verification, Internet