Showing papers on "Optical character recognition published in 1975"

Regional context maximum likelihood error correction for OCR, keyboard, and the like

Abstract: A data processing system is disclosed for selecting the correct form of a garbled input word misread by an optical character reader so as to change the number of characters in the word by character splitting or concatenation. Dictionary words are stored in the system, having characters which are flagged for segmentation or concatenation OCR misread propensity. The OCR word and a dictionary word are loaded into a pair of associated shift registers, aligning their letters on one end. The dictionary word characters are inspected for error propensity flags. When a splitting propensity, for example, is found for a character, special conductional probability values are accessed from a storage and a calculation is performed of the probability that the first character of the dictionary word was split by the OCR into the first and second characters of the OCR word. This regional context probability is compared with the probability of a simple substitution error for the characters. If the probability of segmentation is larger, the OCR characters in the first shift register are shifted one space with respect to the dictionary word characters in the second shift register so that subsequent character pairs to be compared are properly matched. The greater calculated probability is combined in a running product. The dictionary word with the largest running product is output by the system as the most likely correct form of the garbled OCR input word. In addition to optical character recognition, the system disclosed may be applied to correcting segmentation errors in phoneme-characters output from a speech analyzer. In addition to optical character recognition, the system disclosed may be applied to correcting character substitutions, transpositions, additions, and omissions inadvertently typed on a keyboard.

Character Recognition with a Coherent Optical Multichannel Correlator

Abstract: A coherent-optical reading method for Optical Character Recognition Set A [OCR(A)]-numerics is derived modifying a customary coding method which has been used in optical correlators that feature signal input via ultrasonic light modulators for time compression of radar pulses. It is shown by computer simulation that unambiguous recognition of these numerics will be possible if combined application of masks for the numeric codes and matched auxiliary masks for significant features are realized.1