Hiroshi Sako
Also known as 迫宏
Hiroshi Sako is a machine-vision researcher whose work spans factory automation, handwriting recognition and medical-image screening. At Hitachi's Central Laboratory, he helped develop a vision-based transistor assembly system used in 1973. A 1997 patent named him as a co-inventor of a method and apparatus for processing facial-expression images. IAPR named him a Fellow in 2004, and he coauthored a study on handwritten numeral recognition. He cochaired the 2008 IAPR Document Analysis Systems workshop, wrote an IEICE machine-vision foreword in July 2008, coauthored a 2009 paper on retinal screening, and served on MVA's advisory board in 2017.
Timeline
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1973
Transistor assembly by vision
At Hitachi's Central Laboratory, Sako is among the engineers behind a vision-based transistor assembly system that enters use in 1973. It uses pattern recognition to locate electrodes on tiny chips.
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1997
Facial-expression image processing
A 1997 patent names him as a co-inventor of a method and apparatus for processing facial-expression images.
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2004
An IAPR Fellowship
IAPR names him a Fellow in 2004 for contributions to developing and applying machine-vision technology for factory and office automation.
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2004
Handwritten numeral recognition
In 2004, he coauthors “Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings” with Cheng-Lin Liu and Hiromichi Fujisawa.
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2008
DAS workshop chair
He co-chairs IAPR's Document Analysis Systems workshop in 2008.
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July 2008
Machine-vision foreword
In July 2008, he writes the foreword to IEICE's Special Section on Machine Vision and its Applications.
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2009
Fundus-lesion screening
In 2009, he coauthors a paper on a system that screens fundus images for diabetic-retinopathy lesions. The system selects classifiers by candidate-lesion position and reports 98% sensitivity and 81% specificity.
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2017
MVA advisory board
For MVA 2017, he serves on the conference advisory board.
Most-cited works
- Handwritten digit recognition: benchmarking of state-of-the-art techniquesWith Cheng-Lin Liu and Hiromichi Fujisawa
- Handwritten digit recognition: investigation of normalization and feature extraction techniquesWith Cheng-Lin Liu and Hiromichi Fujisawa
- Discriminative Learning Quadratic Discriminant Function for Handwriting RecognitionWith Hiromichi Fujisawa
- Performance evaluation of pattern classifiers for handwritten character recognitionWith Cheng-Lin Liu and Hiromichi Fujisawa
- Handwritten Chinese character recognition: alternatives to nonlinear normalizationWith Cheng-Lin Liu and Hiromichi Fujisawa
Sources and credits
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