Optical character recognition using a memory matrix generated from singular value decomposition

Osami Sasaki; Kenichi Sakata; Akihito Shibahara; Takamasa Suzuki

doi:10.1117/1.601781

1 September 1998 Optical character recognition using a memory matrix generated from singular value decomposition

Osami Sasaki, Kenichi Sakata, Akihito Shibahara, Takamasa Suzuki

Optical Engineering, Vol. 37, Issue 9, (September 1998). https://doi.org/10.1117/1.601781

A memory matrix provides output vectors that are specified by the corresponding input vectors. If the input vectors represent input characters, the memory matrix performs character recognition. When the input characters contain noise, it is difficult to recognize the characters. To overcome this difficulty, we generate a new memory matrix by using singular value decomposition and manipulating the singular values. The effectiveness of the memory matrix is made clear by recognizing 26 alphabets characters containing noise with an optical recognition system.

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Osami Sasaki, Kenichi Sakata, Akihito Shibahara, and Takamasa Suzuki "Optical character recognition using a memory matrix generated from singular value decomposition," Optical Engineering 37(9), (1 September 1998). https://doi.org/10.1117/1.601781

Published: 1 September 1998

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KEYWORDS

Signal to noise ratio

Optical character recognition

LCDs

Image sensors

Computing systems

Optical engineering

Collimation

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