Abstract: An image processing apparatus segments Western and hieroglyphic portions of textual lines. The apparatus includes an input component that receives an input image having at least one textual line. The apparatus also includes an inter-character break identifier component that identifies candidate inter-character breaks along a textual line and an inter-character break classifier component. The inter-character break classifier component classifies each of the candidate inter-character breaks as an actual break, a non-break or an indeterminate break based at least in part on the geometrical properties of each respective candidate inter-character break and the bounding boxes adjacent thereto. A character recognition component recognizes the candidate characters based at least in part on a feature set extracted from each respective candidate character that can be histogram features, Gabor features or any other feature set applicable to character recognition.

Abstract: A method for identifying words in a textual image undergoing optical character recognition includes receiving a bitmap of an input image which includes textual lines that have been segmented by a plurality of chop lines. The chop lines are each associated with a confidence level reflecting a degree to which the respective chop line properly segments the textual line into individual characters. One or more words are identified in one of the textual lines based at least in part on the textual lines and a first subset of the plurality of chop lines which have a chop line confidence level above a first threshold value. If the first word is not associated with a sufficiently high word confidence level, at least a second word in the textual line is identified based at least in part on a second subset of the plurality of chop lines which have a confidence level above a second threshold value lower than the first threshold value.

Abstract: An image processing apparatus segments Western and hieroglyphic portions of textual lines. The apparatus includes an input component that receives an input image having at least one textual line. The apparatus also includes an inter-character break identifier component that identifies candidate inter-character breaks along a textual line and an inter-character break classifier component. The inter-character break classifier component classifies each of the candidate inter-character breaks as an actual break, a non-break or an indeterminate break based at least in part on the geometrical properties of each respective candidate inter-character break and the bounding boxes adjacent thereto. A character recognition component recognizes the candidate characters based at least in part on a feature set extracted from each respective candidate character that can be histogram features, Gabor features or any other feature set applicable to character recognition.

Abstract: A method for identifying words in a textual image undergoing optical character recognition includes receiving a bitmap of an input image which includes textual lines that have been segmented by a plurality of chop lines. The chop lines are each associated with a confidence level reflecting a degree to which the respective chop line properly segments the textual line into individual characters. One or more words are identified in one of the textual lines based at least in part on the textual lines and a first subset of the plurality of chop lines which have a chop line confidence level above a first threshold value. If the first word is not associated with a sufficiently high word confidence level, at least a second word in the textual line is identified based at least in part on a second subset of the plurality of chop lines which have a confidence level above a second threshold value lower than the first threshold value.

Abstract: An image processing apparatus segments Western and hieroglyphic portions of textual lines. The apparatus includes an input component that receives an input image having at least one textual line. The apparatus also includes an inter-character break identifier component that identifies candidate inter-character breaks along a textual line and an inter-character break classifier component. The inter-character break classifier component classifies each of the candidate inter-character breaks as an actual break, a non-break or an indeterminate break based at least in part on the geometrical properties of each respective candidate inter-character break and the bounding boxes adjacent thereto. A character recognition component recognizes the candidate characters based at least in part on a feature set extracted from each respective candidate character that can be histogram features, Gabor features or any other feature set applicable to character recognition.