Unconstrained handprint recognition using a limited lexicon

Michael D. Garris

doi:10.1117/12.171129

23 March 1994 Unconstrained handprint recognition using a limited lexicon

Michael D. Garris

Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171129
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

A word recognition system has been developed at NIST to read free-formatted text paragraphs containing handprinted characters. The system has been developed and tested using binary images containing 2,100 different writers' printings of the Preamble to the U.S. Constitution. Each writer was asked to print these sentences in an empty 70 mm by 175 mm box. The Constitution box contains no guidelines for the placement and spacing of the handprinted text, nor are there guidelines to instruct the writer where to stop printing one line and to begin the next. While the layout of the handprint in these paragraphs is unconstrained, a limited-size lexicon may be applied to reduce the complexity of the recognition application. The system's four components have been combined into an end-to-end hybrid system that executes across a UNIX file server and a massively parallel SIMD computer. The recognition system achieves a word error rate of 49% across all 2,100 printings of the Preamble (109,096 words). This performance is achieved with a neural network character classifier that has a substitution error rate of 14% on its 22,823 training patterns.

Citation Download Citation

Michael D. Garris "Unconstrained handprint recognition using a limited lexicon", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171129

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