Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
To improve the JPEG2000 compression standard error resiliency in the wireless environment, the use of ternary MQ arithmetic coders/decoders that are based on the concept of forbid...
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...