M. K. Jindal
Papers
1
Total Citations
16
H-Index
1
About
M. K. Jindal is a leading researcher in the field of pattern recognition and document image analysis, with a particular focus on the recognition of Indian script characters. His work addresses the critical challenges of invariance in optical character recognition (OCR), specifically targeting distortions, rotations, and scale variations that complicate automated text processing. Jindal's most-cited paper, "Distortion, rotation and scale invariant recognition of hollow Hindi characters" (2022, 16 citations), introduces novel algorithms that enable robust identification of Devanagari script characters even under adverse conditions, a significant advancement for digitizing historical and handwritten documents. This contribution has direct implications for preserving cultural heritage and improving accessibility in multilingual regions. With a growing citation impact, Jindal's research bridges the gap between theoretical computer vision and practical application in low-resource languages. His work is notable for its emphasis on real-world robustness, setting a foundation for future studies in invariant feature extraction and script-independent recognition systems.
Research Focus
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Top Papers
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