Ian Lamont recently asked Google if they planned to extend their transcription of books and other printed media to include public records, many of which were handwritten before word processors became ubiquitous. Google wouldn't talk about any potential plans, but Lamont found out a bit more about the limits of optical character recognition in the process: "Even though some CAPTCHA schemes have been cracked in the past year, a far more difficult challenge lies in using software to recognize handwritten text. Optical character recognition has been used for years to convert printed documents into text data, but the enormous variation in handwriting styles has thwarted large-scale OCR imports of handwritten public documents and historical records. Ancestry.com took a surprising approach to digitizing and converting all publicly released US census records from 1790 to 1930: It contracted the job to Chinese firms whose staff manually transcribed the names and other information. The Chinese staff are specially trained to read the cursive and other handwriting styles from digitized paper records and microfilm. The task is ongoing with other handwritten records, at a cost of approximately $10 million per year, the company's CEO says."