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    <pubDate>Fri, 27 Mar 2026 08:23:45 GMT</pubDate>
    <dc:date>2026-03-27T08:23:45Z</dc:date>
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      <title>Development of Gender Classification and Writer Identification Systems For Offline Handwritten Gurumukhi Text</title>
      <link>http://localhost:8080/xmlui/handle/123456789/389</link>
      <description>Title: Development of Gender Classification and Writer Identification Systems For Offline Handwritten Gurumukhi Text
Authors: Dargan, Shaveta; Supervisor: Kumar, Munish
Abstract: Over the last few years, a good number of laboratories all over the world have been&#xD;
involved in the research on the offline handwritten text. Pattern Recognition is the&#xD;
process of automated recognition of patterns and regularities in the data by using&#xD;
machine learning techniques. The development of the writer identification and gender&#xD;
classification systems based on behavior biometric traits i.e., handwritten text in the&#xD;
Gurumukhi script is the prime objective of this Ph.D. work. The development of a&#xD;
framework for gender classification in Gurumukhi script is a novel achievement in&#xD;
concern with the Indic scripts as previously no recognized work has been available so far&#xD;
and the development for writer identification with large datasets and with improved and&#xD;
enhanced accuracy rate is also a remarkable attempt as compared to state-of-the-art&#xD;
work. Numerous challenging and stimulating applications based on gender classification&#xD;
and writer identification are forensic investigations, criminal detection, questioned&#xD;
documents, signature identification and verification, forgery detection and so on.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-01-01T00:00:00Z</dc:date>
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      <title>Development of Offline Handwritten Gurumukhi Word Recognition System for Postal Automation</title>
      <link>http://localhost:8080/xmlui/handle/123456789/384</link>
      <description>Title: Development of Offline Handwritten Gurumukhi Word Recognition System for Postal Automation
Authors: Harmandeep Kaur; Supervisor: Kumar, Munish
Abstract: Optical Character Recognition (OCR) is the technique used to recognize characters from the digitized image of the scanned text documents. Handwritten word recognition principally necessitates OCR in order to recognize handwritten words from the digitized image of a document. OCR upgrades the interface between man and machine in various application areas like postal automation, data entry, bank automation, etc. The main goal of this thesis was to develop an offline handwritten Gurumukhi word recognition system for postal automation. Gurumukhi is the script employed to write the Punjabi language which is the official language of Punjab state of India and is generally spoken in the northern regions of India.</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-01-01T00:00:00Z</dc:date>
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