IEEE Trans Image Process - A Novel Text Detection System Based on Character and Link Energies.

Tópicos

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Resumo

We propose a novel method by using three new character features to detect text objects comprising two or more isolated characters in images and videos. A new text model is constructed to describe text objects. Each character is a part in the model and every two neighboring characters are connected by a link. Two characters and the link connecting them are defined as a text unit. For every candidate part, we compute character energy based on our observation that each character stroke forms two edges with high similarities in length, curvature, and orientation. For every candidate link, we compute link energy based on the similarities in color, size, stroke width, and spacing between characters that are aligned along a particular direction. For every candidate text unit, we combine character and link energies to compute text unit energy which measures the likelihood that the candidate is a text object. We evaluated the performance of the proposed method on ICDAR 2003/2005 dataset, Microsoft Street view dataset, and VACE video dataset. The experimental results demonstrate that our method can capture the inherent properties of characters and discriminate text from other objects effectively.

Resumo Limpo

propos novel method use three new charact featur detect text object compris two isol charact imag video new text model construct describ text object charact part model everi two neighbor charact connect link two charact link connect defin text unit everi candid part comput charact energi base observ charact stroke form two edg high similar length curvatur orient everi candid link comput link energi base similar color size stroke width space charact align along particular direct everi candid text unit combin charact link energi comput text unit energi measur likelihood candid text object evalu perform propos method icdar dataset microsoft street view dataset vace video dataset experiment result demonstr method can captur inher properti charact discrimin text object effect

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