Zonal Tree Features for Character Recognition
Original Publication Date: 1984-Jun-01
Included in the Prior Art Database: 2005-Feb-04
Character image data is tested progressively by a series of binary tests forming a decision tree. The tests continue until a particular character of a defined set of characters has been unambiguously identified. Each of the tests can be made on individual image bits or on collective image data known as measurements or features. Features generally represent characteristic shapes associated with individual characters. Features can themselves be identified by decision trees that test for predetermined image data patterns occurring in particular regions or zones of the character image. Such a feature decision tree consists of a progressive series of binary tests made on data selected from a defined region of the character image.