A new handwriting model is proposed for simulating complex handwriting variation in obedience to individual handwriting tendencies. Individual handwriting t,endency is represented...
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...
— This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user’s handwrit...
In this paper, an off-line, text independent system for writer identification using Hidden Markov Model (HMM) based recognizers is described. For each writer we build an individua...