ID number recognition of X-ray films by a neural network

Authors:
Kazuyoshi Itoh
Affiliations:
Osaka University, Department of Applied Physics, Yamada Oka 2-1, Suita, Osaka 565, Japan
Venue:
Computer Methods and Programs in Biomedicine
Year:
1994

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Abstract

Results of ID number recognition of X-ray films using the neuro-computing technique implemented on a conventional engineering workstation are reported. The neural network was trained to identify the ten digits of arabic numerals and two roman letters printed on X-ray films. We used 22 sheets of films for the training set and 23 sheets for the test set. Each sheet of film contains 25 characters. A 99.5% recognition rate on the character base was achieved.