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Before the image of a document enter an OCR module, it should undergo Preprocessing and Document Layout Analysis steps. Document layout analysis usually comes after preprocessing. Noise removal and skew correction are two major preprocessing operations. Document layout analysis itself is divided into physical and logical layout analysis. Physical layout analysis decomposes the image of a document...
In this paper, we describe an approach to segment handwritten text, machine printed text and noise from annotated machine printed documents. Three categories of word level features are extracted. We use a modified K-Means clustering algorithm for classification followed by a relabeling procedure using Markov Random Field(MRF) based on a concept of neighboring patches and Belief Propagation(BP) rules...
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, shape and connectivity with text. Features are based on a residual image obtained by analysis of the distance transform and clutter elements, if present, are identified with an SVM classifier. Removal is restrictive, so text attached...
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing on their fonts. First text regions are extracted, and then font matching is performed using fractal descriptors. Experiments are done for both maps and ancient documents.
This paper presents a novel approach to automatically identify characters in films using audio visual cues and text analysis. The approach consists of three stages: (i) frontal face track detection and clustering, (ii) face track classification, (iii) name assignment. A finite state machine (FSM) method is utilized to filter faces detected on each frame and build face tracks. The face tracks are clustered...
Classification from text/graphics images is an important procedure for automatic digitization of documents. Based on the shapes in the basis image, the asymmetrical filters are developed in this paper. By filtering with the asymmetrical filters, the horizontal, vertical, and inclined edgespsila information are fetched from the input image. With applying a classified algorithm, the input image can...
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