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- Nei Kato, Masato Suzuki, Shinichiro Omachi, Hirotomo Aso, Yoshiaki Nemoto
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1999

This paper presents a precise system for handwritten Chinese and Japanese character recognition. Before extracting directional element feature (DEF) from each character image, transformation based on partial inclination detection (TPID) is used to reduce undesired effects of degraded images. In the recognition process, city block distance with deviation… (More)

- Shinichiro Omachi, Fang Sun, Hirotomo Aso
- SSPR/SPR
- 2000

For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the probability density function of multivariate normal distribution is used for classification. However, the computational cost is O(n) for n-dimensional vectors. Moreover, if there are not enough… (More)

- Hirotomo Aso, Namio Honda
- J. Comput. Syst. Sci.
- 1985

- Hideaki Goto, Hirotomo Aso
- International Journal on Document Analysis and…
- 1999

In order to enhance the ability of document analysis systems, we need a text line extraction method which can handle not only straight text lines but also text lines in various shapes. This paper proposes a new method called Extended Linear Segment Linking (ELSL for short), which is able to extract text lines in arbitrary orientations and curved text lines.… (More)

A rotation-invariant neocognitron is constructed by extending the neocognitron which can recognize translated, scaled and/or distorted patterns from training ones. In constructing the model two technical methods during the learning, a “threshold-controlling method” and a “rotation matrix method”, are proposed. In numerical simulations, it is shown that the… (More)

- Motoyuki Suzuki, Shozo Makino, Akinori Ito, Hirotomo Aso, Hiroshi Shimodaira
- IEICE Transactions
- 1995

- Tsuyoshi Kato, Shinichiro Omachi, Hirotomo Aso
- SSPR/SPR
- 2002

In this paper, we propose a new probability model, ‘asymmetric Gaussian(AG),’ which can capture spatially asymmetric distributions. It is also extended to mixture of AGs. The values of its parameters can be determined by Expectation-Conditional Maximization algorithm. We apply the AGs to a pattern classification problem and show that the AGs outperform… (More)

- Jousuke Kuroiwa, Sakari Inawashiro, Shogo Miyake, Hirotomo Aso
- Neural Networks
- 2000

Self-organization of orientation maps due to external stimuli in the primary visual area of the cerebral cortex is studied in a two-layered neural network which consists of formal neuron models with a sigmoidal output function. A cluster learning rule is proposed as an extended Hebbian learning rule, where a modification of synaptic connections is… (More)

- Shunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo Miyake
- Systems and Computers in Japan
- 1999

- Shinichiro Omachi, Masako Omachi, Hirotomo Aso
- IEICE Transactions
- 2007