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Gender recognition from facial images has become one of challenging research problem in computer vision, security, verbal-nonverbal communication and human computer interaction applications nowadays. Because facial images include many information such as gender, facial expressions, age, ethnic origin in computer-aided applications, the success rate of the gender recognition depends on quality of facial...
Object localization is one of the most important stages in license plate recognition application. Object localization searches and segments the region of interest of license plate automatically and eases the subsequent recognition phase where each character of the license plate can be identified accurately. Speeded Up Robust Features (SURF) and Bag-of Words (BoW) feature descriptors are combined and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.