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- [31] A New Scheme for Text Line and Character Segmentation from Gray Scale Images of Palm Leaf Manuscript PROCEEDINGS OF 2016 15TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), 2016, : 325 - 330
- [33] Text Line Segmentation for Unconstrained Handwritten Document Images Using Neighborhood Connected Component Analysis PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2009, 5909 : 369 - +
- [34] {"ERRORS":"Abstract: [WARNING :We present a Fully Convolutional Network based method for layout analysis of non-binarized historical Arabic manuscripts. The document image is segmented into main text and side text regions by dense pixel prediction. Convolutional part of the network can learn useful features from the non-binarized document images and is robust to degradation and uncontrained layouts. We have evaluated the proposed method on a private dataset containing challenging historical Arabic manuscripts to demonstrate it effectiveness. : Abstract should contain anyone of \u0027(C)\u0027, \u0027Copyright\u0027, or \u0027Published by\u0027, WARNING ::[pixel, uncontrained, dataset]]\u003cbr\u003e\n\u003cb\u003eTitle\u003c/b\u003e: [WARNING :Misspelled words :[binarization]]\u003cbr\u003e\nNo Error want to proceed ?","ARTNERRORS":""} 2018 IEEE 2ND INTERNATIONAL WORKSHOP ON ARABIC AND DERIVED SCRIPT ANALYSIS AND RECOGNITION (ASAR), 2018, : 151 - 155