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The code behind a gubernatorial recall

Dan Lopresti, professor and chair of computer science and engineering, helped reporter Patrick Marley of the Milwaukee Journal Sentinel dissect handwriting-recognition software involved in the reviewing of petitions in the electorate initiative currently underway in Wisconsin that seeks to enact a gubernatorial recall. According to Lopresti in the article, “software similar to what the state is using has an accuracy rate of 90 percent to 95 percent per character. When that rate is extended across all the letters of a name, there is a good chance for error.”