8. In a data processing system, including a plurality of: character recognition means, a recognition station processor and a monitoring and correction station processor, a method for selecting which one of said plurality of character recognition means to use for recognizing a character in a field in a document image, comprising the steps of: inputting an adaptive probability weighting factor from said monitoring and correction station processor to said recognition station processor for each of said plurality of character recognition means; generating a first guess character and first confidence value and a second guess character and second confidence value using each of said plurality of character recognition means; computing a recognition means choice confidence factor in said recognition station processor as a product of said adaptive probability weighting factor, times a difference between said first confidence value and said second confidence value; and selecting in said recognition station processor one of said plurality of character recognition means having a maximum value for said recognition means choice confidence factor.
8. In a data processing system, including a plurality of: character recognition means, a recognition station processor and a monitoring and correction station processor, a method for selecting which one of said plurality of character recognition means to use for recognizing a character in a field in a document image, comprising the steps of: inputting an adaptive probability weighting factor from said monitoring and correction station processor to said recognition station processor for each of said plurality of character recognition means; generating a first guess character and first confidence value and a second guess character and second confidence value using each of said plurality of character recognition means; computing a recognition means choice confidence factor in said recognition station processor as a product of said adaptive probability weighting factor, times a difference between said first confidence value and said second confidence value; and selecting in said recognition station processor one of said plurality of character recognition means having a maximum value for said recognition means choice confidence factor. 12. The method of claim 8, which further comprises: monitoring and correcting said first guess character in the monitoring and correction station processor operated in an automatic mode; accumulating an error count for one of said plurality of character recognition means in said monitoring and correction station processor; computing a new value for said adaptive probability weighting factor in said recognition station processor, for at least one of said plurality of character recognition means, by modifying said adaptive probability weighting factor with a value derived from said error count.