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.
This book surveys algorithms used in Chinese handwriting recognition, covering celebrated methods and new scalable approaches, guidelines for sample collection, novel recognition paradigms, distributed discriminative learning, distributed estimation and more.
Autor Tonghua Su
Dr. Tong-Hua Su has been working in the character recognition field for 10 years. The research group with which Dr. Su has been working released the HIT-MW database, which is widely used in over 60 universities/institutes. They are the first group who systematically studied the recognition problem of Chinese handwriting and developed the HMM-based recognizer and the PL-MQDF classifier for Chinese handwritten character recognition
Größe 235 x 177 x 155 mm
Produktgewicht 219 g
This discussion is intended to exchange information between customers. If your question answered within 48 hours, the answer gives you an expert of Dodax.