no code implementations • 13 Oct 2024 • Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Depending on the various combinations of the initial decisions, three schemes are experimented with 201 subjects for identification and verification.
no code implementations • 16 Mar 2024 • Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
Researchers propose regularizing techniques, such as Label Smoothing (LS), which introduces soft labels for training data, making the classifier more regularized.
no code implementations • 16 Mar 2024 • Anay Panja, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
The typical Binary cross entropy(BCE) based U-shaped network only concentrates on the entire CT images without emphasizing on the affected regions, which results in hazy borders and low contrast in the projected output.
no code implementations • 17 Feb 2024 • Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Biometric is a better solution to win over the problems encountered by digital forensics.
no code implementations • 16 Dec 2023 • Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
The best identification accuracy of 98. 67%, and equal error rate (EER) of 4. 6% have been achieved using the subset of 25 features which are selected by the rank-based local FoBa algorithm.
no code implementations • 3 Aug 2023 • Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Fine-grained image classification (FGIC) is a challenging task in computer vision for due to small visual differences among inter-subcategories, but, large intra-class variations.
no code implementations • 1 Aug 2023 • Asish Bera, Mita Nasipuri, Ondrej Krejcar, Debotosh Bhattacharjee
The proposed SYD-Net has achieved state-of-the-art accuracy on Yoga-82 using five base CNNs.
1 code implementation • 12 Nov 2022 • Avirup Dey, Nibaran Das, Mita Nasipuri
Historical Document Image Binarization is a well-known segmentation problem in image processing.
no code implementations • 22 Oct 2021 • Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri, Hubert P. H. Shum
A presentation attack detection approach is addressed by assessing the visual quality of genuine and fake hand images.
no code implementations • 23 Apr 2021 • Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das
Convolutional neural networks often generate multiple logits and use simple techniques like addition or averaging for loss computation.
no code implementations • 20 Feb 2021 • Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
In this paper, we explore dark knowledge transfer approach using long short-term memory(LSTM) and CNN based assistant model and various deep neural networks as the teacher model, with a simple CNN based student network, in this domain of multi-script identification from natural scene text images.
no code implementations • 5 Feb 2021 • Md Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
Moving outside the visible spectrum range, such as the thermal spectrum or the near-infrared (NIR) images, is much more beneficial in low visibility conditions, NIR images are very helpful for understanding the object's material quality.
no code implementations • 1 Feb 2021 • Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
With the advent of mobile and hand-held cameras, document images have found their way into almost every domain.
Ranked #2 on
SSIM
on DocUNet
no code implementations • 17 Sep 2020 • Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury, Ram Sarkar, Mita Nasipuri
This paper addresses the automatic segmentation of text words directly from unconstrained Bangla handwritten document images.
Optical Character Recognition
Optical Character Recognition (OCR)
+1
no code implementations • 16 Sep 2020 • Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri
A considerable amount of success has been achieved in developing monolingual OCR systems for Indic scripts.
no code implementations • 16 Sep 2020 • Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri
In a multilingual country like India where 12 different official scripts are in use, automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents, searching for documents on the web/digital archives containing a particular script and for the selection of script specific Optical Character Recognition (OCR) system in a multilingual environment.
Optical Character Recognition
Optical Character Recognition (OCR)
no code implementations • 18 Aug 2020 • Bodhisatwa Mandal, Ritesh Sarkhel, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri
To address this, we propose a novel two-phase dynamic routing protocol that computes agreements between neurons at various layers for micro and macro-level features, following a hierarchical learning paradigm.
1 code implementation • 20 Jul 2020 • Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
Capturing images of documents is one of the easiest and most used methods of recording them.
Ranked #1 on
SSIM
on DocUNet
no code implementations • 10 May 2020 • Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri
In any multi-script environment, handwritten script classification is of paramount importance before the document images are fed to their respective Optical Character Recognition (OCR) engines.
no code implementations • 5 May 2020 • Sovan Saha, Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Subhadip Basu
With this hypothesis, the present work focuses on developing a computational model for nCoV-Human protein interaction network, using the experimentally validated SARS-CoV-Human protein interactions.
1 code implementation • 27 Apr 2020 • Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
Finding local invariant patterns in handwrit-ten characters and/or digits for optical character recognition is a difficult task.
Optical Character Recognition
Optical Character Recognition (OCR)
no code implementations • 8 Apr 2020 • Arnab Banerjee, Nibaran Das, Mita Nasipuri
The ensemble approach clearly outperform all of the used deep learning networks.
no code implementations • 17 Mar 2020 • Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions.
no code implementations • 15 Mar 2020 • Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
The present work demonstrates a fast and improved technique for dewarping nonlinearly warped document images.
no code implementations • 12 Mar 2020 • Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri
In the literature, many fusion techniques are registered for the segmentation of images, but they primarily focus on observed output or belief score or probability score of the output classes.
1 code implementation • 28 Dec 2019 • Animesh Singh, Sandip Saha, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das
Deep neural network-based architectures give promising results in various domains including pattern recognition.
no code implementations • 13 Jul 2019 • Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri
Capsule networks have gained a lot of popularity in short time due to its unique approach to model equivariant class specific properties as capsules from images.
no code implementations • 29 Jun 2018 • Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri
Recognition of handwritten Roman characters and numerals has been extensively studied in the last few decades and its accuracy reached to a satisfactory state.
no code implementations • 14 Mar 2018 • Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel, Sandipan Choudhuri, Nibaran Das, Mita Nasipuri
Modern deep learning algorithms have triggered various image segmentation approaches.
no code implementations • 2 Feb 2018 • Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
In this work, a novel deep learning technique for the recognition of handwritten Bangla isolated compound character is presented and a new benchmark of recognition accuracy on the CMATERdb 3. 1. 3. 3 dataset is reported.
no code implementations • 26 Jul 2017 • Supratim Das, Pawan Kumar Singh, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri
In this paper, we introduced a Harmony Search (HS) algorithm based feature selection method for feature dimensionality reduction in handwritten Bangla word recognition problem.
no code implementations • 22 Jan 2015 • Nibaran Das, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu
Appropriate feature set for representation of pattern classes is one of the most important aspects of handwritten character recognition.
no code implementations • 22 Jan 2015 • Nibaran Das, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
In the current work we have developed a two-pass approach where the first pass classifier performs a coarse classification, based on some global features of the input pattern by restricting the possibility of classification decisions within a group of classes, smaller than the number of classes considered initially.
no code implementations • 15 Oct 2014 • Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu
In this approach, an unknown pattern is classified by refining possible classification decisions obtained through coarse classification of the same.
no code implementations • 2 Oct 2014 • Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
The current research aims to evaluate the performance of the convex hull based feature set, i. e. 125 features in all computed over different bays attributes of the convex hull of a pattern, for effective recognition of isolated handwritten Bangla basic characters and digits.
no code implementations • 16 Aug 2014 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri
Features are extracted from the reconstructed non-occluded face images in the form of face normals.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
Secondly, the nonlinear discriminating features are analyzed and extracted from the selected low-energized blocks by the generalized Kernel Discriminative Common Vector (KDCV) method.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
Finally the best fitted Hough peaks are extracted from the Hough transformed significant blocks for efficient face recognition.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
Firstly, the new morphological features i. e., features based on number of runs of pixels in four directions (N, NE, E, NW) are extracted, together with the GLCM based statistical features and LDP features that are less sensitive to the noise and non-monotonic illumination changes, are extracted from the significant blocks of the gradient image.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
This paper exploits the feature extraction capabilities of the discrete cosine transform (DCT) together with an illumination normalization approach in the logarithm domain that increase its robustness to variations in facial geometry and illumination.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
Unlike the traditional zigzag scanning method for feature extraction a continuous scanning method from top-left corner to right then top-down and right to left and so on until right-bottom of the image i. e. a spiral scanning technique has been proposed for better feature selection.
no code implementations • 5 Dec 2013 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
In this paper, we present a novel Gabor wavelet based Kernel Entropy Component Analysis (KECA) method by integrating the Gabor wavelet transformation (GWT) of facial images with the KECA method for enhanced face recognition performance.
no code implementations • 3 Dec 2013 • Pramit Ghosh, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
The analysis and counting of blood cells in a microscope image can provide useful information concerning to the health of a person.
no code implementations • 3 Dec 2013 • Pramit Ghosh, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
The objective of this work is to automate the blood related pathological investigation process.
no code implementations • 18 Sep 2013 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
In this paper, we propose a new approach that takes as input a 3D face image across X, Y and Z axes as well as both Y and X axes and gives output as its pose i. e. it tells whether the face is oriented with respect the X, Y or Z axes or is it oriented across multiple axes with angles of rotation up to 42 degree.
no code implementations • 18 Sep 2013 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
In this paper we present a novel method that combines a HK curvature-based approach for three-dimensional (3D) face detection in different poses (X-axis, Y-axis and Z-axis).
no code implementations • 18 Sep 2013 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
In this present smoothing technique we have built the neighborhood surrounding a particular point in 3D face and replaced that with the weighted value of the surrounding points in 3D face image.
no code implementations • 13 Sep 2013 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
All the experiments have been performed on the FRAV3D Database.
no code implementations • 13 Sep 2013 • Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri, Dipak kr. Basu
In this paper we present a novel technique of registering 3D images across pose.
no code implementations • 4 Sep 2013 • Ayan Seal, Mita Nasipuri, Debotosh Bhattacharjee, Dipak Kumar Basu
A distribution of blood vessels are unique for each person and as a set of extracted minutiae points from a blood perfusion data of a human face should be unique for that face.
no code implementations • 4 Sep 2013 • Ayan Seal, Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri, Dipak kr. Basu
Image processing methods are used to pre-process the captured thermogram, from which different physiological features based on blood perfusion data are extracted.
no code implementations • 4 Sep 2013 • Ayan Seal, Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
Secondly face features are extracted from the croped region, which will be taken as the input of the back propagation feed forward neural network in the third step and classification and recognition is carried out.
no code implementations • 4 Sep 2013 • Ayan Seal, Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu
In the first approach, the training images and the test images are processed with Haar wavelet transform and the LL band and the average of LH/HL/HH bands sub-images are created for each face image.
no code implementations • 4 Sep 2013 • Ayan Seal, Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri, Dipak kr. Basu
Therefore this paper describes an efficient approach of human face recognition based on wavelet transform from thermal IR images.
no code implementations • 17 Jun 2011 • Mrinal Kanti Bhowmik, Gautam Majumdar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri
This paper demonstrates two different fusion techniques at two different levels of a human face recognition process.
no code implementations • 17 Jun 2011 • Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
In this paper, we present a technique by which high-intensity feature vectors extracted from the Gabor wavelet transformation of frontal face images, is combined together with Independent Component Analysis (ICA) for enhanced face recognition.
no code implementations • 5 Jul 2010 • Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
This paper investigates the multiresolution level-1 and level-2 Quotient based Fusion of thermal and visual images.
no code implementations • 5 Jul 2010 • Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
The main advantage of using wavelet transform is that it is well-suited to manage different image resolution and allows the image decomposition in different kinds of coefficients, while preserving the image information.
no code implementations • 5 Jul 2010 • Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach.
no code implementations • 5 Jul 2010 • Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
Here, we have used thermal face images as those are capable to minimize the affect of illumination changes and occlusion due to moustache, beards, adornments etc.
no code implementations • 5 Jul 2010 • Santanu Halder, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
This paper aims at determining the characteristics of a face image by extracting its components.
no code implementations • 21 May 2010 • Santanu Halder, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
This paper aims at generating a new face based on the human like description using a new concept.
no code implementations • 21 May 2010 • Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
This paper presents a novel approach to handle the challenges of face recognition.
no code implementations • 21 May 2010 • Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, M. Kundu
To reduce further we have applied feature selection method to select indispensable features, which will remain in the final feature vectors.
no code implementations • 31 Mar 2010 • Satadal Saha, Subhadip Basu, Mita Nasipuri, Dipak Kumar Basu
Automatic License Plate Recognition system is a challenging area of research now-a-days and binarization is an integral and most important part of it.
no code implementations • 31 Mar 2010 • Satadal Saha, Subhadip Basu, Mita Nasipuri, Dipak Kumar Basu
Integrated Traffic Management Systems (ITMS) are now implemented in different cities in India to primarily address the concerns of road-safety and security.
no code implementations • 4 Mar 2010 • Satadal Saha, Subhadip Basu, Mita Nasipuri, Dipak Kumar Basu
The technique is based on color based segmentation of vehicle images and identification of potential license plate regions.