Swapan Kumar Parui

Swapan Kumar Parui

Indian Statistical Institute

H-index: 35

Asia-India

About Swapan Kumar Parui

Swapan Kumar Parui, With an exceptional h-index of 35 and a recent h-index of 21 (since 2020), a distinguished researcher at Indian Statistical Institute, specializes in the field of Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

An unsupervised and robust line and word segmentation method for handwritten and degraded printed document

NN-based analytic approach to symbol level recognition for degraded Bengali printed documents

Mutual conditional independence and its applications to model selection in Markov networks

Swapan Kumar Parui Information

University

Position

___

Citations(all)

4150

Citations(since 2020)

1405

Cited By

3370

hIndex(all)

35

hIndex(since 2020)

21

i10Index(all)

90

i10Index(since 2020)

45

Email

University Profile Page

Indian Statistical Institute

Google Scholar

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Swapan Kumar Parui Skills & Research Interests

Pattern Recognition

Top articles of Swapan Kumar Parui

Title

Journal

Author(s)

Publication Date

An unsupervised and robust line and word segmentation method for handwritten and degraded printed document

Transactions on Asian and Low-Resource Language Information Processing

Jayati Mukherjee

Swapan K Parui

Utpal Roy

2021/10/31

NN-based analytic approach to symbol level recognition for degraded Bengali printed documents

Sādhanā

Jayati Mukherjee

Swapan K Parui

Utpal Roy

2020/12

Mutual conditional independence and its applications to model selection in Markov networks

Annals of Mathematics and Artificial Intelligence

Niharika Gauraha

Swapan K Parui

2020/9

See List of Professors in Swapan Kumar Parui University(Indian Statistical Institute)

Co-Authors

H-index: 20
Utpal Roy

Utpal Roy

Visva-Bharati University

H-index: 17
Szilard VAJDA

Szilard VAJDA

Central Washington University

H-index: 11
Tapan Kumar Bhowmik

Tapan Kumar Bhowmik

Rijksuniversiteit Groningen

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