1. A method for creating digitized text for a record from an image of the record, comprising: obtaining a digital image of a record; evaluating the record image in order to locate each of multiple word images; for each located word image, identifying multiple word features of that word image; assigning each of the multiple word images that have similar word features to one of a plurality of word clusters; selecting a representative word image in each of the word clusters as a centroid; reviewing, by an analyst, the centroid in each of the word clusters, and entering digitized text for the centroid; and assigning the digitized text for the centroid to all other word images in the same word cluster as the centroid.
1. A method for creating digitized text for a record from an image of the record, comprising: obtaining a digital image of a record; evaluating the record image in order to locate each of multiple word images; for each located word image, identifying multiple word features of that word image; assigning each of the multiple word images that have similar word features to one of a plurality of word clusters; selecting a representative word image in each of the word clusters as a centroid; reviewing, by an analyst, the centroid in each of the word clusters, and entering digitized text for the centroid; and assigning the digitized text for the centroid to all other word images in the same word cluster as the centroid. 7. The method of claim 1 , wherein the step of assigning each word image to a word cluster based on its feature vector, comprises: 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.