Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Dipak Kumar Basu"'
Publikováno v:
Journal of Chemometrics. 29:492-505
The fuzzy C-means (FCM) algorithm does not fully utilize the spatial information for image segmentation and is sensitive to the presence of noise and intensity inhomogeneity in magnetic resonance imaging (MRI) images. The underlying reason is that us
Publikováno v:
Signal, Image and Video Processing. 9:1945-1954
Intensity inhomogeneity (IIH) or bias field in magnetic resonance imaging (MRI) severely affects quantitative image analysis. This paper presents a nonparametric IIH-correction strategy in MRI brain images by fusing multiple Gaussian surfaces. The II
Publikováno v:
Biomedical Engineering Research. :88-95
Due to urban life style and nuclear family culture, overweight or obesity becomes an epidemic for the future generation, i.e. children. Due to fast lifestyle parents have not enough time to play with their children. As a consequence children are addi
Publikováno v:
Journal of Intelligent Systems, Vol 22, Iss 1, Pp 25-47 (2013)
Effective text region extraction and binarization of image embedded text documents on mobile devices having limited computational resources is an open research problem. In this paper, we present one such technique for preprocessing images captured wi
Autor:
Mahantapas Kundu, Jagan Mohan Reddy, Mita Nasipuri, Nibaran Das, Dipak Kumar Basu, Subhadip Basu, Ram Sarkar
Publikováno v:
Applied Soft Computing. 12:2486-2495
Principal Component Analysis (PCA) and Modular PCA (MPCA) are well known statistical methods for recognition of facial images. But only PCA/MPCA is found to be insufficient to achieve high classification accuracy required for handwritten character re
Publikováno v:
Applied Soft Computing. 12:1592-1606
Identification of local regions from where optimal discriminating features can be extracted is one of the major tasks in the area of pattern recognition. To locate such regions different kind of region sampling techniques are used in the literature.
Publikováno v:
Procedia Technology. 4:604-611
In this paper, a thermal infra red face recognition system for human identification and verification using blood perfusion data and back propagation feed forward neural network is proposed. The system consists of three steps. At the very first step f
Publikováno v:
Applied Soft Computing. 11:4282-4292
This paper presents a novel scheme for feature extraction, namely, the generalized two-dimensional Fisher's linear discriminant (G-2DFLD) method and its use for face recognition using multi-class support vector machines as classifier. The G-2DFLD met
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 15:71-83
In this paper, we have described the preparation of a benchmark database for research on off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text and Bangla text mixed with English words. This is the first handwritte
Publikováno v:
Pattern Recognition. 43:3507-3521
Recognition of numeric postal codes in a multi-script environment is a classical problem in any postal automation system. In such postal documents, determination of the script of the handwritten postal codes is crucial for subsequent invocation of th