Facial recognition has always gone through a consistent research area due to its non-modelling nature and its diverse applications. As a result, day-to-day activities are increasingly being carried out electronically rather than in pencil and paper. Today, computer vision is a comprehensive field that deals with a high level of programming by feeding the input images/videos to automatically perform tasks such as detection, recognition and classification. Even with deep learning techniques, they are better than the normal human visual system. In this article, we developed a facial recognition system based on the Local Binary Pattern Histogram (LBPH) method to treat the real-time recognition of the human face in the low and high-level images. We aspire to maximize the variation that is relevant to facial expression and open edges so to sort of encode edges in a very cheap way. These highly successful features are called the Local Binary Pattern Histogram (LBPH).
Objective: To determine the frequency of different hair loss using BASP classification in Pakistani men. Study Design: Cross-Sectional Study. Setting: Study was conducted at Department of Dermatology, Abbasi Shaheed Hospital, Karachi. Duration: Six months starting 6th August 2019 till 5th January 2020 Material and Methods: Total 157 diagnosed patients with hair loss who met the diagnostic criteria were included. Brief history was taken and demographic information was recorded after taking written informed consent. Male pattern of hair loss (MPHL) was checked and categorized using BASP classification. Data was analyzed by SPSS 24.0. Results: In this study out of 157 patients, mean and standard deviation of age and duration of hair loss were 33.14±12.49 years and 1.89± 0.44 years, respectively. The Pattern of hair loss distribution showed that 34 (21.7%) were L type, 66 (42%) were M type, 35 (22.3%) were C type, and 22 (14%) were U type patterned hair loss. Conclusion: Assessment of male pattern hair loss using BASP classification found that M type hair loss was more prevalent. Currently, there are effective medical and surgical treatments available for men. However, the knowledge of pattern of hair loss in our population would help in choosing suitable treatment plans. Keywords: Male Pattern hair loss, Androgenic alopecia and BASP classification
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