Human interaction proofs (HIPs) have become common place on the internet due to their effectiveness in deterring automated abuse of online services intended for humans. However, th...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line ...
Natural scene images coming usually from lowresolution sensors in embedded context suffer from low text recognition results. Due to several types of degradations, existing algorit...
This paper presents a new method for segmenting and recognizing Chinese handwritten address character strings. First, a dissection algorithm is applied to over-segment string imag...