1. A method for creating digitized text for a record from an image of the record, comprising: receiving multiple word images from one or more records; for each received word image, identifying multiple word features of that word image; assigning one or more values to each of the multiple word features for each word image in order to create a feature vector associated with that word image; and assigning each word image to a word cluster based on its feature vector, comprising: calculating a distance between each one of the multiple word images and every other one of the multiple word images, based on feature vectors associated with those word images; selecting, from among the multiple word images, two of the word images that are closest in distance to each other; and assigning the two of the word images to the word cluster.
1. A method for creating digitized text for a record from an image of the record, comprising: receiving multiple word images from one or more records; for each received word image, identifying multiple word features of that word image; assigning one or more values to each of the multiple word features for each word image in order to create a feature vector associated with that word image; and assigning each word image to a word cluster based on its feature vector, comprising: calculating a distance between each one of the multiple word images and every other one of the multiple word images, based on feature vectors associated with those word images; selecting, from among the multiple word images, two of the word images that are closest in distance to each other; and assigning the two of the word images to the word cluster. 8. The method of claim 1 , wherein the step of calculating a distance comprises: calculating a plurality of distances, each being the difference between the value of one feature of the one of the word images and a corresponding feature of the other one of the multiple word images; and summing together the plurality of distances.