Informatics Publishing Limited

P. Shanthi ¹, Z. Johnkennedy ¹, K. Parvathi ¹, D. Malathi ¹, K. Thangavel ¹, G. S. V. Raghavan ²

Affiliations
1 Tamil Nadu Agricultural University, Coimbatore-641 043, IN
2 McGill University, CA

Abstract

The challenges directed towards the food industry will be to fulfil the needs of the changing world markets and to meet new consumer product needs. Nowadays many pasta products flood the market. All the pasta and Asian noodles are generally wheat based products. The functional properties of wheat protein fractions are well defined for bread making and pasta cooking quality.

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K. Parvathi ¹, K. Jayaprakash ², N. Sivakumar ³

Affiliations
1 Department of Chemistry, L.R.G. Government Arts College for Women, Tirupur (T.N.), IN
2 Department of Zoology, Chikkanna Government Arts College, Tirupur (T.N.), IN
3 Department of Chemistry, Chikkanna Government Arts College, Tirupur (T.N.), IN

Abstract

There is a report on the Hg contamination due to the waste glass coated with mercury dumped by a thermometer factory at Kodaikanal, Tamil Nadu. Water samples from various zones of the lake located at Kodaikanal were subjected for the spectrophotometric method of Hg content. The results have disclosed that there is an elevated level of Hg. The data was analysed statistically and discussed with relation to the contamination of Hg.

Keywords

Hg Contamination, Hg Pollution from Thermometer Factory, Environmental Hg in Water Analysis.

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Urooj Beg ¹, K. Parvathi ¹, Vinod Jha ¹

Affiliations
1 School of Electronics Engineering, KIIT University, Bhubaneswar – 751024, Odisha, IN

Abstract

Objective: Braille - a model to reduce the illiteracy rate among the visually challenged people. So, this paper focuses on text translation/ conversion of scanned Hindi document to Braille, a single mode of communication for visually challenged people via Image processing techniques. Method/Analysis: The translation of scanned Hindi text into Braille code involves the following four processes: (i) Hindi database generation of consonants and matras using image segmentation. (ii) Segmentation of test images into lines followed by words and finally into letters. This step involves three types of segmentation: (a) line segmentation (b) word segmentation (c) letter segmentation. (iii) Letter matching of segmented letters with the generated Hindi database using Principal Component Analysis (PCA). (iv) Conversion of matched letter into corresponding Braille code. The algorithm takes test documents as input and reads the letter wise and maps the letters in the corresponding Braille code. Findings: Three Hindi documents containing single, multiple lines are taken as test documents. These test documents are successfully converted into their corresponding Braille code using the proposed algorithm. A lot of research work has been conducted which emphasizes the conversion of scanned Braille code into the text, but the conversion of scanned text to Braille has not been attempted so far. These results are a step further in the field of Braille communication, adding a new way through which Hindi literature can easily be made available to visually impaired people for improving their knowledge and easy access to documents and books as needed. Improvement/Application: The results obtained will provide easy access of Hindi literature to visually challenged people as there is limited availability of Braille textbooks in the market. The memory consumption is very less as the size of each image in Hindi database is 187x128 pixels. This work can be modified for real time applications, like instant conversion of text to Braille using handheld devices.

Keywords

Hindi Braille, Hindi Data Base, Image Processing, Image Segmentation, Letter Matching, Principal Component Analysis, Text Translation

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