No abstract

No abstract

Tamizhi (Tamil-Brahmi) script is one of the oldest scripts in India from which most of the modern Indian scripts are evolved. The ancient historical documents are generally preserved as digitised texts using Optical Character Recognition (OCR) technique. But the development of OCR for Tamizhi documents is highly challenging as many characters have similar shapes and structures with very small variations. In specific, for Tamizhi script it is very difficult to build an OCR as many characters are combined characters. This can be a single character formed by a single vowel/consonant or compound characters formed by combining vowels and consonants. This paper deals with the development of Tamizhi OCR for printed Tamizhi documents which is anticipated to perform efficiently irrespective of poor quality, noises and various input formats of Tamizhi documents. This is a preliminary study towards developing an OCR for handwritten Tamizhi inscription images that recognises text captured from onsite inscriptions. The developed Tamizhi OCR for printed text can produce an accuracy of about 91.12 per cent.

No abstract

In Wireless Sensor Networks (WSNs) the user establishes a region and requires the WSN to collect data only inside this region. This kind of query is called spatial query. In static deployment, nodes do not fail but can be destroyed, interference can deny the communication and nodes can go to sleep mode in order to save energy. The current state-of-the-art spatial window query processing algorithms do not take sensor node failures into consideration, which leads to low query success rate and high energy consumption. This work proposes a fault tolerant and energy efficient spatial query processing mechanism for WSN. The proposed mechanism is fault tolerant because queries or query results are forwarded only by active nodes, which are selected among a set of candidates that responded to inquiry messages.