Word Spotting in Scanned Tamil Land Documents using K-Nearest Neighbor

word spotting is a technique which can extract the text from input image. Here, we implemented on scanned Tamil land documents. Using Gabor feature, we extract the feature values for the input image. The main goal is recognize the text from the document using K nearest neighbor classifier. The features were calculated and the features were combined. Using these features, we can classify and recognized a text using an unsupervised classifier. The Classifier needs training of a database. The database consists of some set of words (printed or scanned). For the classification of the feature vector the k nearest neighbor Classifiers were employed.