The following publications are possibly variants of this publication:
- Segmentation of lines and words in handwritten Gurmukhi script documentsMunish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal. iitm 2010: 25-28 [doi]
- A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and NumeralsHarjeet Singh, R. K. Sharma, Rajesh Kumar, Karun Verma, Ravinder Kumar, Munish Kumar. cvip 2020: 457-466 [doi]
- A fast skew detection and correction algorithm for machine printed words in Gurmukhi scriptDharam Veer Sharma, Gurpreet Singh Lehal. icdar 2009: 15 [doi]
- Benchmark Datasets for Offline Handwritten Gurmukhi Script RecognitionMunish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal, Simpel Rani Jindal, Harjeet Singh. icvgip 2019: 143-151 [doi]
- Line segmentation of handwritten Gurmukhi manuscriptsSimpel Jindal, Gurpreet Singh Lehal. icvgip 2012: 74-78 [doi]
- Online Handwritten Gurmukhi Words Recognition: An Inclusive StudySukhdeep Singh, Anuj Sharma. talip, 18(3), 2019. [doi]
- Text segmentation of machine-printed Gurmukhi scriptGurpreet Singh Lehal, Chandan Singh. drr 2001: 223-231 [doi]
- Efficient zone identification approach for the recognition of online handwritten Gurmukhi scriptHarjeet Singh, Rajendra Kumar Sharma, Varinder Pal Singh. nca, 31(8):3957-3968, 2019. [doi]
- Performance analysis of feature extractors and classifiers for script recognition of English and Gurmukhi wordsRajneesh Rani, Renu Dhir, Gurpreet Singh Lehal. icvgip 2012: 30-36 [doi]
- Online Handwritten Gurmukhi Strokes Dataset Based on Minimal Set of WordsSukhdeep Singh, Anuj Sharma, Indu Chhabra. talip, 16(1):1, 2016. [doi]
- Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words RecognitionAnuj Sharma, Rajesh Kumar, R. K. Sharma. icdar 2009: 1241-1245 [doi]