Showing papers on "Signature recognition published in 1966"

Pattern Recognition by Using an Associative Memory

Abstract: The purpose of this paper is to present a simple template-matching pattern recognition technique by using any general-purpose associative memory. The input patterns for recognition may have wide variations, provided that the distinct features of individual pattern classes can be extracted. Each pattern class is allowed to have deviations in size, style, orientation, etc. within certain limits. This pattern recognition technique is extremely efficient in handwritten character recognition, which is used for illustration in this paper. Because each input pattern is processed with all the pattern classes simultaneously, the speed of this pattern recognition technique is very high. It is found that most input patterns are recognized within first comparison process and no input patterns require more than two comparison processes for their recognition.

A system for the automatic recognition of moving patterns

Abstract: A system for the automatic recognition of two-dimensional patterns is described; recognition taking place as images of the patterns move in a rapid nonstop manner across a stationary scanning unit which takes the form of a bank of photodiodes. Although emphasis is placed on the recognition of alphabetic and numeric characters, the principles developed are applicable to the recognition of more general types of two-dimensional patterns. The theoretical principles on which the system is based are developed in Section II and experimental and computer simulation results are given and discussed in Section III. In Section IV the difficulties involved in the manual design of the recognition "logic" are considered and reference is made to a machine algorithm for the automatic design and testing of a complete recognition system. Some results obtained when using the algorithm are presented.