Abstract: A computer implemented system and method for extracting and recognizing alphanumeric characters from traffic signs is envisaged. A camera present in the system is adapted to be mounted on the vehicle for capturing images of traffic signs. The system then gives a region of interest (ROI) within the frame of the captured image, from where the alphanumeric characters are extracted and enhanced for recognition. For recognizing the enhanced alphanumeric characters, the image is converted to binary image and morphological thinning technique is applied on it. The space then obtained between two alphanumeric characters thus helps in extracting the characters and recognizing them independently from the captured image. For each extracted alphanumeric character is re-sized to a specified size and is recognized with the help of white pixels count. Once the alphanumeric characters are recognized they are displayed on a display.

Abstract: A computer implemented system and method for extracting and recognizing alphanumeric characters from traffic signs is envisaged. A camera present in the system is adapted to be mounted on the vehicle for capturing images of traffic signs. The system then gives a region of interest (ROI) within the frame of the captured image, from where the alphanumeric characters are extracted and enhanced for recognition. For recognizing the enhanced alphanumeric characters, the image is converted to binary image and morphological thinning technique is applied on it. The space then obtained between two alphanumeric characters thus helps in extracting the characters and recognizing them independently from the captured image. For each extracted alphanumeric character is re-sized to a specified size and is recognized with the help of white pixels count. Once the alphanumeric characters are recognized they are displayed on a display.