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Abstract: This paper deals with the discrimination between machine-printed and handwritten text, a prerequisite for many OCR applications.
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text ...
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PDF | This paper deals with the discrimination between machine-printed and handwritten text, a prerequisite for many OCR applications. An easy-to-follow.
PDF | In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize.
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text ...
Experiments on document images taken from IAM-DB and GRUHD databases show a remarkable performance of the proposed approach to discriminate between ...
This paper addresses the problem of identifying each type by using the Radon transform and Support Vector Machines, which is conducted at three steps: ...
In this paper, we first present the handwritten/printed text discrimination ... Shape codebook based handwritten and machine printed text zone extraction.
This paper deals with the discrimination between machine-printed and handwritten text, a prerequisite for many OCR applications. An easy-to-follow approach ...
We propose a novel template matching approach for the discrimination of handwritten and machine-printed text. We first pre-process the scanned document images ...