Two-tier architecture for unconstrained handwritten character recognition
نویسندگان
چکیده
منابع مشابه
Two-tier architecture for unconstrained handwritten character recognition
In this paper, we propose an approach that combines the unsupervised and supervised learning techniques for unconstrained handwritten numeral recognition. This approach uses the Kohonen self-organizing neural network for data classification in the first stage and the learning vector quantization (LVQ) model in the second stage to improve classification accuracy. The combined architecture perfor...
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In spite of fast evolution of electronic techniques in the past few decades, a number of large scale applications rely on the use of paper for storing important information or data. Here we examined the issues of optical character recognition (OCR) system for reading the data printed on the physical paper document using artificial neural network. We proposed an approach in which Back Propagatio...
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ژورنال
عنوان ژورنال: Sadhana
سال: 2002
ISSN: 0256-2499,0973-7677
DOI: 10.1007/bf02703297