Pt. 1. Basic methods in pattern recognition. ch. 1.1. Statistical pattern recognition / R.P.W. Duin and D.M.J. Tax. ch. 1.2. Hidden Markov models for spatio-temporal pattern recognition / Brian C. Lovell and Terry Caelli. ch. 1.3. A new Kernel-based formalization of minimum error pattern recognition / Erik McDermott and Shigeru Katagiri. ch. 1.4. Parallel contextual array grammars with trajectories / P. Helen Chandra [und weitere]. ch. 1.5. Pattern recognition with local invariant features -- pt. 2. Basic methods in computer vision. ch. 2.1. Case-based reasoning for image analysis and interpretation / Petra Perner. ch. 2.2. Multiple image geometry - a projective viewpoint / Quang-Tuan Luong. ch. 2.3. Skeletonization in 3D discrete binary images / Gabrielle Sanniti di Baja and Injela Nyström. ch. 2.4. Digital distance transforms in 2D, 3D, and 4D / Gunilla Borgefors. ch. 2.5. Computing global shape measures / Paul L. Rosin. ch. 2.6. Texture analysis with local binary patterns / Topi Mäenpää and Matti Pietikäinen -- pt. 3. Recognition applications. ch. 3.1. Document analysis and understanding / Yuan Yan Tang. ch. 3.2. Chinese character recognition / Xiaoqing Ding. ch. 3.3. Extraction of words from handwritten legal amounts on bank cheques / In Cheol Kim and Ching Y. Suen. ch. 3.4. OCR assessment of printed-fonts for enhancing human vision / Ching Y. Suen, Qizhi Xu and Cedric Devoghelaere. ch. 3.5. Clustering and classification of web documents using a graph model / Adam Schenker [und weitere]. ch. 3.6. Automated detection of masses in mammograms / H.D. Cheng [und weitere]. ch. 3.7. Wavelet-based Kalman filtering in scale space for image fusion / Hsi-Chin Hsin and Ching-Chung Li. ch. 3.8. Multisensor fusion with hyperspectral imaging data: detection and classification / Su May Hsu and Hsiao-hua Burke. ch. 3.9. Independent component analysis of functional magnetic resonance imaging data / V.D. Calhoun and B. Hong -- pt. 4. Human identification. ch. 4.1. Multimodal emot