Reference no: EM133324615

Assignment: In this assignment you will be given grayscale images of hand-written characters, where you will need to identify (extract) and recognize (classify) each character. The assignment has two phases: Training and recognition. After completing these, you will be asked to improve your recognition rates by providing your own ideas, which is the enhancement part. For both training and recognition, you will need to convert the grayscale images to binary images, identify each separate character instance appearing in the image and extract some visual features from these character instances. In the training phase, you will build (learn) a 'database' of features that you extracted from a given set of character images. These features will be put inside a matrix that will be later used as a recognition database. At this phase you will know what each character is (its label) and you will also store this information along with the extracted features. In the recognition phase, you will use the built database of features, the associated character labels and the features you extracted from your test image to recognize each character in this test image. Features extracted for each character instance in the test image will be compared to all the features in the database and the label