Manish Kumar Jindal

40 papers Journal 29Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Document forgery detection: a comprehensive review.
Int. J. Data Sci. Anal.
Ranveer Sukhija, Munish Kumar, Manish Kumar Jindal
2025 J jnl
Forensic handwriting analysis: a hybrid classification framework for writer identification in Devanagari script.
Multim. Tools Appl.
Monika Sethi, Munish Kumar, Manish Kumar Jindal
2023 J jnl
An efficient technique for breaking of coloured Hindi CAPTCHA.
Soft Comput.
Mohinder Kumar, Manish Kumar Jindal, Munish Kumar
2023 J jnl
Cattle identification system: a comparative analysis of SIFT, SURF and ORB feature descriptors.
Multim. Tools Appl.
Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal
2023 J jnl
Gender prediction system through behavioral biometric handwriting: a comprehensive review.
Soft Comput.
Monika Sethi, Munish Kumar, Manish Kumar Jindal
2023 J jnl
Performance evaluation of different features and classifiers for Gurumukhi newspaper text recognition.
J. Ambient Intell. Humaniz. Comput.
Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal
2022 J jnl
Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective.
Soft Comput.
Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal
2022 J jnl
Design of innovative CAPTCHA for hindi language.
Neural Comput. Appl.
Mohinder Kumar, Manish Kumar Jindal, Munish Kumar
2022 J jnl
LineSeg: line segmentation of scanned newspaper documents.
Pattern Anal. Appl.
Rupinder Pal Kaur, Manish Kumar Jindal, Munish Kumar, Simpel Rani Jindal, Shikha Tuteja
2022 J jnl
Recognition of typewritten Gurmukhi characters.
Int. J. Comput. Aided Eng. Technol.
Rajan Goyal, Rajesh Kumar Narula, Manish Kumar Jindal
2022 J jnl
Shi-Tomasi corner detector for cattle identification from muzzle print image pattern.
Ecol. Informatics
Amanpreet Kaur, Munish Kumar, Manish Kumar Jindal
2021 J jnl
A Novel Attack on Monochrome and Greyscale Devanagari CAPTCHAs.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Mohinder Kumar, Manish Kumar Jindal, Munish Kumar
2021 J jnl
Benchmarks for Designing a Secure Devanagari CAPTCHA.
SN Comput. Sci.
Mohinder Kumar, Manish Kumar Jindal
2021 J jnl
DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition.
Multim. Tools Appl.
Sonika Rani Narang, Munish Kumar, Manish Kumar Jindal
2021 J jnl
Improved recognition results of offline handwritten Gurumukhi characters using hybrid features and adaptive boosting.
Soft Comput.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal, Harjeet Singh
2021 — conf
Segmentation of Unstructured Scanned Devanagari Newspaper Documents.
CVIP (1)
Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal
2021 J jnl
Text and graphics segmentation of newspapers printed in Gurmukhi script: a hybrid approach.
Vis. Comput.
Rupinder Pal Kaur, Manish Kumar Jindal, Munish Kumar
2020 J jnl
Ancient text recognition: a review.
Artif. Intell. Rev.
Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar
2020 J jnl
Newspaper text recognition of Gurumukhi script using random forest classifier.
Multim. Tools Appl.
Rupinder Pal Kaur, Munish Kumar, Manish Kumar Jindal
2020 J jnl
On the recognition of Devanagari ancient handwritten characters using SIFT and Gabor features.
Soft Comput.
Sonika Rani Narang, Manish Kumar Jindal, Shruti Ahuja, Munish Kumar
2020 J jnl
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study.
Artif. Intell. Rev.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal
2019 J jnl
Character and numeral recognition for non-Indic and Indic scripts: a survey.
Artif. Intell. Rev.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal
2019 J jnl
Devanagari ancient character recognition using DCT features with adaptive boosting and bootstrap aggregating.
Soft Comput.
Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar
2019 J jnl
Drop flow method: an iterative algorithm for complete segmentation of Devanagari ancient manuscripts.
Multim. Tools Appl.
Sonika Rani Narang, Manish Kumar Jindal, Munish Kumar
2019 J jnl
Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts Using Boosting and Bagging Methodologies.
Neural Process. Lett.
Munish Kumar, Simpel Rani Jindal, Manish Kumar Jindal, Gurpreet Singh Lehal
2018 J jnl
A novel handwriting grading system using gurmukhi characters.
Int. Arab J. Inf. Technol.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma
2018 — conf
Benchmark Datasets for Offline Handwritten Gurmukhi Script Recognition.
DAR@ICVGIP
Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal, Simpel Rani Jindal, Harjeet Singh
2018 — conf
Performance Comparison of Several Feature Selection Techniques for Offline Handwritten Character Recognition.
RICE
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma, Simpel Rani Jindal
2015 J jnl
Recognition of Handwritten Hindi Text Using Middle Region of the Words.
Int. J. Softw. Innov.
Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal
2013 J jnl
MDP Feature Extraction Technique for Offline Handwritten Gurmukhi Character Recognition.
Smart Comput. Rev.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma
2013 J jnl
PCA-based Offline Handwritten Character Recognition System.
Smart Comput. Rev.
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma
2012 — conf
Offline handwritten Gurmukhi character recognition: study of different feature-classifier combinations.
DAR@ICVGIP
Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal
2012 — conf
Weka-Based Classification Techniques for Offline Handwritten Gurmukhi Character Recognition.
SocProS
Munish Kumar, Manish Kumar Jindal, Rajendra Kumar Sharma
2010 — conf
A New Method for Line Segmentation of Handwritten Hindi Text.
ITNG
Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal
2010 — conf
Segmentation of lines and words in handwritten Gurmukhi script documents.
IITM
Munish Kumar, Rajendra Kumar Sharma, Manish Kumar Jindal
2009 J jnl
On Segmentation of Touching Characters and Overlapping Lines in Degraded Printed Gurmukhi Script.
Int. J. Image Graph.
Manish Kumar Jindal, Gurpreet Singh Lehal, Rajendra Kumar Sharma
2009 — conf
Segmentation of touching characters in upper zone in printed Gurmukhi script.
Bangalore Compute Conf.
Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal
2008 — conf
Structural Features for Recognizing Degraded Printed Gurmukhi Script.
ITNG
Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal
2007 — conf
A Study of Different Kinds of Degradation in Printed Gurmukhi Script.
ICCTA
Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpreet Singh Lehal
2005 — conf
A Study of Touching Characters in Degraded Gurmukhi Text.
WEC (2)
Manish Kumar Jindal, Gurpreet Singh Lehal, Rajendra Kumar Sharma
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling