SHREYAS S BAGI's Projects
Character-Recognition-and-Segmentation using SVM
Designing of RISC processor ISA with pipeline Implementation in Modelsim – Altera and Intel Quartus tool. The MIPS 32 instructions of Register type and Immediate type were implemented
Config files for my GitHub profile.
The first stage of processing in a license plate recognition system is the video frame selection followed by detection and extraction of the license plate area from a larger scene image to minimize subsequent computations and complexity of the algorithm. A moving object can be detected and tracked from a continuous video sequence based on the two primary information such as visual characteristics such as color, texture, shape, and motion characteristics. In video, as object moves from one frame to another, the object to be tracked changes its position. The variability in visual features is quite evident due to this movement. The various challenges a moving object detection and segmentation technique faces are illumination involving changes in brightness, dynamic background, presence of background clutters, presence of shadows, camera motion, presence of noise, etc. The car in the video is considered as positive images and all the background in the video is considered as negative images are classified using haar cascade classifier.
Extraction of License Plate from the Car image