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41#
發(fā)表于 2025-3-28 15:26:59 | 只看該作者
42#
發(fā)表于 2025-3-28 19:24:21 | 只看該作者
43#
發(fā)表于 2025-3-29 01:36:45 | 只看該作者
The BBN Byblos Hindi OCR Systemm to Arabic, English, Chinese, Pashto, and Japanese. In this chapter, we report on our recent effort in training the system to perform recognition of Hindi (Devanagari) documents. The initial experiments reported in this chapter were performed using a corpus of synthetic (computer-generated) documen
44#
發(fā)表于 2025-3-29 03:46:47 | 只看該作者
45#
發(fā)表于 2025-3-29 07:52:58 | 只看該作者
Online Handwriting Recognition for Indic Scriptsechnology holds significant promise for Indic scripts, given that the Indic languages are used by a sixth of the world’s population, and the greater ease of use of handwriting-based text input for these scripts compared to keyboard-based methods. Even though the recognition of handwritten Devanagari
46#
發(fā)表于 2025-3-29 11:58:22 | 只看該作者
47#
發(fā)表于 2025-3-29 17:36:15 | 只看該作者
48#
發(fā)表于 2025-3-29 22:05:11 | 只看該作者
GFG-Based Compression and Retrieval of Document Images in Indian Scriptsection using techniques for word-image-based search. The compression and retrieval paradigm we propose is applicable even for those Indian scripts for which reliable OCR technology is not available. Our technique for word spotting is based on exploiting the geometrical features of the word image. Th
49#
發(fā)表于 2025-3-30 03:39:59 | 只看該作者
Word Spotting for Indic Documents to Facilitate Retrievalarch have emerged as key research areas. However, most of the current work in these areas is limited to English and a few oriental languages. The lack of efficient solutions for Indic scripts has hampered information extraction from a large body of documents of cultural and historical importance. Th
50#
發(fā)表于 2025-3-30 06:16:11 | 只看該作者
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