Titlebook: Document Analysis and Recognition; 4th Workshop, DAR 20 Suresh Sundaram,Gaurav Harit Conference proceedings 2019 Springer Nature Singapore

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A Deep Learning Architecture Based Dimensionality Reduction and Online Signature Verificationstandard datasets MCYT, SUSIG. The experimentation confirms that the proposed model achieves better accuracy (lower error rates) with a lesser number of features compared to the current state-of-the-art models. The proposed models yield state-of-the-art performance of 0.4% EER on MCYT-100 dataset and 3.47% with SUSIG dataset.

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Attributed Paths for Layout-Based Document Retrievallayout structure as grids, graphs, and spatial histograms of patches. In this paper we propose a new way of representing layout, which we call .. This representation admits a string edit distance based match measure. Our experiments show that layout based retrieval using attributed paths is computat

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Textual Content Retrieval from Filled-in Form Images of a form processing system, namely touching component separation, text non-text separation and handwritten-printed text separation. The proposed method is evaluated on a database having 50 filled-in forms written in Bangla, collected during an essay competition in a school. The experimental result

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An Efficient Multi Lingual Optical Character Recognition System for Indian Languages Through Use of ons, composite background, noise etc. and language specific issues like cursive connectivity among the characters etc. makes OCR challenging and erroneous for Indian languages. The language specific challenges can be overcome by computing the script-based features and can achieve better accuracy. Co

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