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Ticket system on the shopping mall and offices have a way to write it by the manual and automatic way. Most of the systems in use are by manual rather than automatic. With the problem, the manual system will be replaced with an automatic system that can recognize the number on the license plate. One method used to detect the plate and number that can be used is the method of finding contour. Finding contour can locate the number plate by detecting the rectangular shape of an image. This method is very important to be able to detect the number plate because there are many forms contained in the vehicle. Segmentation is used to recognize the characters on the car number plate using integral projection. Integral projection can separate the characters contained on the car number plate to facilitate processing on character recognition. The successful use of this method is 98%. errors are usually caused by the faded car plate colors

Biometric is crucial in improving security. Many cases of crime to identify the perpetrators can be identified by biometrics, which are difficult to identify with other technologies. Research on biometric focus on the physical characteristics of a human being or human behavior. The way humans walk is one of human behavior that has uniqueness, the uniqueness of these patterns can be used to gender identification. In this study proposes a variety of features to identify gender based gait. These features are taken from the skeleton provided by kinect camera. There are four features are measured, there are three features of gait were recorded from the side that is the width of the foot when walking, the width of the swing arm and high ankle when lifted from the floor. The last feature is the width between 2 feet (from left ankle to right ankle) were taken from the front of the camera. Result, these features to 80% can be used to identify gender of a person.

This study aims to perform a simple lips feature recognition using lips angle detection. This feature detection starts from the search area of the face using skin segmentation continues to find the area of the lips by anthropometry human face in general. Then from the lips area to be searched its use lips angle detection algorithm to determine the coordinates of the corner of his mouth by the Lowest grayscale value combined with integral projections. Testing feature detection using 11 human faces, each doing four different expressions performed in real time. Four expressions are normal conditions, a thin smile, big smile and stare representing the possibilities of impending noise to ensure the accuracy of the lips features detection system. From the test results Obtained an average percentage of success of the system to normal conditions of 77.9%, a thin smile 91.68%, 95.97% and a wide smile.

This paper refers to the problems that arise in everyday life, where most people still have problems in distinguishing between real money or fake money, especially blind persons. This paper will be studied how to make a portable tool that can read the signs visible on the money and then provide feedback in the form of sound. Ultraviolet rays will be used to emit visible image that is on the currency, then the image will be captured by the webcam as an optical sensor. A Single-Board Computer based Raspberry Pi is used to process the data that is captured by the sensor, then Single-Board Computer used to process data sent by the sensor, then the data is converted into histograms and compared with a sample using a histogram comparison, after comparison of data obtained later Single-Board Computer provides signals such as voice if the money is genuine or counterfeit, along with the amount. The tool is able to read and authenticity nominal money effectively, the results of the experiment resulting error value is less than 5%.