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A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words
[chapter]
Lecture Notes in Computer Science
In this paper, we present a HMM based system that is used to recognize ultra low resolution text such as those frequently embedded in images available on the web. We propose a system that takes specifically the challenges of recognizing text in ultra low resolution images into account. In addition to this, we show in this paper that word models can be advantageously built connecting together sub-HMM-character models and inter-character state. Finally we report on the promising performance of
doi:10.1007/978-3-540-77046-6_63
dblp:conf/premi/EinseleIH07
fatcat:7dwvupijbnauxcp6msu4b3sl7a