A junction based approach for Segmenting and recognizing offline handwritten connected twodigit strings is presented in this paper. Very often even in a printed text, adjacent cha...
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...