Short CommunicationPharmacognosy ResearchVol. 2 | Issue 6 | 2010 | pp. 385–387Open access
An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
- 1*
- 1 Pharmacognosy Section, Botanical Survey of India, Howrah - 711 103, India
Published in Pharmacognosy Research
Correspondence: A.B.D. Selvam
Pharmacognosy Section, Botanical Survey of India, Howrah - 711 103, India
Email: abd_selvam@yahoo.co.in
Copyright: © 2010 Manuscript Technomedia. This is an open access article.
- Published:
- Jan 1, 2010
- Received:
- Aug 16, 2010
- Accepted:
- Jan 12, 2011
How to cite
Selvam, A. (2010). An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal. Pharmacognosy Research, 2(6), 385–387. https://doi.org/10.4103/0974-8490.75461
Abstract
About 7,200 medicinal plants are known to occur in India, of which, the leaves of a few hundred plants have medicinal properties. Identification of leaf drugs using venation is considered as one of the most reliable and convenient methods. Leaf identification by mechanical means may often lead to wrong identification. Due to the growing volume of illegal trade/malpractice in the crude drug industry on the one hand and lack of sufficient experts on the other, a much faster, convenient and reliable method is mandatory for the identification of Indian leaf drugs. Therefore, a new automated or semi-automated identification system based on venation pattern is inevitable for the present day condition to identify and authenticate the leaves of Indian medicinal plants.
Keywords
Subject
Article metadata
| Title | An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal |
|---|---|
| Authors | A.B.D. Selvam |
| Affiliations | Pharmacognosy Section, Botanical Survey of India, Howrah - 711 103, India |
| Corresponding author | abd_selvam@yahoo.co.in |
| Journal | Pharmacognosy Research |
| Volume / Issue | Vol. 2, Issue 6 (2010) |
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