— In this paper, a taximeter is offered that`s connected to 4 small digital cameras front of passengers. It firstly can recognize passengers by face detection techniques, based on digital image processing. There are some unique geometrical segments and signs in the face of each person that the system can detect each person by analysis the pictures. In addition, skin color is the other useful item to recognize people in the few count of persons. On the other hand, this taximeter obtains amount of car movement by satellite map. Instead of regular odometers, it defines the origin location, the path and the location of destination in unilateral satellite communication. According to the city map, each path or street is a side of a weighted graph that beginning and end point of them are two vertices of this graph. If we assume the origin and destination of movement as two vertices, we may reach the actual traveled distance by Dijkstra Algorithm.
— Dijkstra algorithm, face detection, satellite map, skin color recognition, taximeter.
M. J. Assadifard and M. Javanmard are with Payam Noor University, Tehran, Iran (e-mail: firstname.lastname@example.org, email@example.com).
M. H. Moazzam was with Computer and Electronic Group of Payam Noor University, Tehran, Iran. He is now with P. N University, Iran (e-mail: firstname.lastname@example.org).
Cite: M. J. Assadifard, M. Javanmard, and M. H. Moazzam, " Taximeter Design Based on Digital Image Processing Approach," International Journal of Information and Electronics Engineering vol. 4, no. 6, pp. 409-412, 2014.