This paper introduce the application of an Analog Associative Memory Chip to the Words Recognition , a fundamental topic of the Text Recognition process. The Word Recognition subject take advantage of statistical evaluation about the behavior of the Optical Character Recognition System preceding it . Those statistical information lead the creation of a coding that is used to store a Lexicon of the most used words in the Chip. An input pattern is matched against the full database of the Associative Memory , and a set of closest pattern is returned. Precision reached by this operation ranges from 93% to 99 % . Those encouraging results demonstrate the general attitude of the Chip to solve classes of problems that need the use of an Associative Memory.