Chinese handwriting recognition : an algorithmic perspective / / Tonghua Su

• Autore: Su Tonghua
• Pubblicazione: Berlin ; ; Heidelberg, : Springer-Verlag, 2013
• Edizione: 1st ed. 2013.
• Descrizione fisica: 1 online resource (xi, 124 pages) : illustrations (some color)
• Disciplina: 006.425
• Soggetto topico: Computer vision; Optical pattern recognition
• Note generali: "ISSN: 2191-8112."
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Introduction -- HIT-MW Database -- Integrated Segmentation-Recognition Strategy -- Segmentation-free Strategy: Basic Algorithms -- Segmentation-free Strategy: Advanced Algorithms.
• Sommario/riassunto: 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.
• Titolo autorizzato: Chinese handwriting recognition
• ISBN: 1-299-19758-2; 3-642-31812-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910437772103321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in electrical and computer engineering.