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Titlebook: Handwriting Recognition; Soft Computing and P Zhi-Qiang Liu,Jinhai Cai,Richard Buse Book 2003 Springer-Verlag Berlin Heidelberg 2003 Markov

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發(fā)表于 2025-3-23 11:54:20 | 只看該作者
12#
發(fā)表于 2025-3-23 15:21:49 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Buseggest that rigid registration using phase correlation may be fairly robust to gamma correction, quantization and multi-spectral acquisition, but more sensitive to differences in illumination and lighting conditions between the input images.
13#
發(fā)表于 2025-3-23 21:27:05 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Buse. As test set, we used image sequences included in the “Violins UVIFL imagery” dataset. Results illustrate the capability of the proposed method to distinguish altered areas from the surrounding noise and artifacts.
14#
發(fā)表于 2025-3-23 23:16:16 | 只看該作者
Zhi-Qiang Liu,Jinhai Cai,Richard Busend removal operations of cells into or from a list. Besides, these Euler operators call a single query operator to retrieve . incidence and adjacency information through a minimal number of accesses. As a result, we obtain a ., ., . and . non-oriented, non-manifold B-rep geometric kernel.
15#
發(fā)表于 2025-3-24 05:26:25 | 只看該作者
Introduction,mated process that uses pattern recognition and machine learning techniques to . characters or words given a lexicon or even an entire dictionary. With the ever increasing computational speed, memory, technological advances in scanning devices and maturity of recognition techniques, we have seen a t
16#
發(fā)表于 2025-3-24 08:41:21 | 只看該作者
17#
發(fā)表于 2025-3-24 12:45:13 | 只看該作者
Markov Models with Spectral Features for Handwritten Numeral Recognition,e closed curves. In this chapter, we introduce a hybrid recognition method that uses Markov process to model spectral features for recognizing hand-written numerals. We analyze the properties of the Fourier descriptors for spectral features derived from contours of 2-D shapes. These features can be
18#
發(fā)表于 2025-3-24 16:40:58 | 只看該作者
Markov Random Field Models for Recognizing Handwritten Words,line segments that are extracted by Gabor filters and we use MRF models for recognizing unconstrained handwritten words. As discussed in detail in Chapter 5, the main advantage of MRF models is that they provide a flexible and natural framework for modeling the interaction between spatially related
19#
發(fā)表于 2025-3-24 21:56:08 | 只看該作者
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發(fā)表于 2025-3-25 02:38:29 | 只看該作者
ymposium on VisualComputing, ISVC 2015, held in Las Vegas, NV, USA in December 2015...The 115 revised full papers and 35 poster paperspresented in this book were carefully reviewed and selected from 260submissions. The papers are organized in topical sections: Part I (LNCS 9474)comprises computation
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