1. An adaptive learning type general purpose image measurement and recognition apparatus, said apparatus operative in a learning mode and a recognition mode, and comprising: an image pick-up device which operates in the learning mode to view teaching objects to generate corresponding first image signals of the teaching objects located within a two-dimensional image frame, and which operates in the recognition mode to view unknown objects to generate second image signals of the unknown objects located within the two-dimensional image frame; a window signal generating means for generating a window signal for designating a measurement scope for a pick-up image; an image cutting-out means for partially cutting out a sub-image by using a local window for said measurement scope; an extracting means for operating in said learning mode to extract and store in a memory basic initial features of said first image signals of said teaching objects, and for extracting and storing in said memory basic initial features of said second image signals of said unknown objects; a matching means for matching said sub-image and autocorrelation computing mask within the measurement scope; a counting means for counting data outputted from said matching means; input means for inputting as teaching information a data pair denoting a number of the teaching objects and a type of the teaching objects; a means for storing in said memory plural pairs of said basic initial features of said first image signals of said teaching objects and a corresponding teaching information; a processing means for processing the plural pairs of basic initial features and the corresponding teaching information stored in said memory so as to extract statistical features of said basic initial features by combining the basic initial features to obtain coefficients which are optimally determined based on a multivariate analysis; a means for storing said coefficients in said memory; a means for applying said coefficients stored in said memory to said basic initial features of said second image signals of said unknown objects so as to generate as a recognition result at least one data pair denoting a number and a type of the unknown objects.