Information Retrieval from Documents: A Survey
Information Retrieval
The Segmentation and Identification of Handwriting in Noisy Document Images
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Machine Printed Text and Handwriting Identification in Noisy Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rewriting Rules To Permeate Complex Similarity and Fuzzy Queries within a Relational Database System
IEEE Transactions on Knowledge and Data Engineering
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A method for finding all images from the same category as a given query image (termed categorization) using texture features is presented. The hypothesis that two images that are similar in texture are likely to belong to the same category, is examined. A new texture feature termed NxM-gram is presented. It is based on the N-gram technique that is commonly used for text similarity. The process of computing an image profile in terms of its NxM-grams is described.Results of experiments on images from various categories are presented. The NxM-gram method with three different similarity measures is compared to the results of categorization using other well known texture features and grey level distribution features. The results show that for our test images texture features are suitable for image categorization, and NxM-gram based methods are the best overall choice of texture feature for this task.