نتایج جستجو برای: handwritten recognition
تعداد نتایج: 253750 فیلتر نتایج به سال:
Several neural network paradigms are discussed and their application to the recognition of handwritten digits is considered. In particular, linear auto-associative systems, threshold logic networks, backward error propagation models, Hopfield networks, and Boltzmann machines are considered. An explanation of each technique is presented and its application to dipt recognition is discussed. The t...
Text line segmentation is an essential pre-processing stage for handwriting recognition in many Optical Character Recognition (OCR) systems. It is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of hand...
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