02800nam 2200517Ia 450 991043777210332120240930132054.01-299-19758-23-642-31812-610.1007/978-3-642-31812-2(PPN)168320398(OCoLC)826333136(MiFhGG)GVRL6XEZ(CKB)2560000000100048(MiAaPQ)EBC1106240(EXLCZ)99256000000010004820120125d2013 uy 0engurun#---uuuuatxtccrChinese handwriting recognition an algorithmic perspective /Tonghua Su1st ed. 2013.Berlin ;Heidelberg Springer-Verlag20131 online resource (xi, 124 pages) illustrations (some color)SpringerBriefs in electrical and computer engineering"ISSN: 2191-8112."3-642-31811-8 Includes bibliographical references.Introduction -- HIT-MW Database -- Integrated Segmentation-Recognition Strategy -- Segmentation-free Strategy: Basic Algorithms -- Segmentation-free Strategy: Advanced Algorithms.This book provides an algorithmic perspective on the recent development of Chinese handwriting recognition. Two technically sound strategies, the segmentation-free and integrated segmentation-recognition strategy, are investigated and algorithms that have worked well in practice are primarily focused on. Baseline systems are initially presented for these strategies and are subsequently expanded on and incrementally improved. The sophisticated algorithms covered include: 1) string sample expansion algorithms which synthesize string samples from isolated characters or distort realistic string samples; 2) enhanced feature representation algorithms, e.g. enhanced four-plane features and Delta features; 3) novel learning algorithms, such as Perceptron learning with dynamic margin, MPE training and distributed training; and lastly 4) ensemble algorithms, that is, combining the two strategies using both parallel structure and serial structure. All the while, the book moves from basic to advanced algorithms, helping readers quickly embark on the study of Chinese handwriting recognition.SpringerBriefs in electrical and computer engineering.Computer visionOptical pattern recognitionComputer vision.Optical pattern recognition.006.425Su Tonghua1059089MiAaPQMiAaPQMiAaPQBOOK9910437772103321Chinese handwriting recognition3872113UNINA