vision based post letter
Post on 11-Sep-2014
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DESCRIPTION
The objective of the project is to segregate postal letters according to the regions (i.e. North, East, West or South) to which they are addressed, by reading the pin codes. This is achieved through OCR (Optical Character Recognition) algorithm and vision utilities available in NI Embedded Vision System.TRANSCRIPT
Vision based automated post letter sorting
system using LabView
Mechatriks Academy Vision Pro 1.1
ABSTRACT
The objective of the project is to segregate postal letters according to the regions (i.e. North, East, West or South) to which they are addressed, by reading the pin codes. This is achieved through OCR (Optical Character Recognition) algorithm and vision utilities available in NI Embedded Vision System.
The hardware setup consists of a monochrome camera which acquires the image of the post letter, a conveyor that carries the letter through the system and an end sorter with four bins each corresponding to a particular region. The letter is detected by an IR sensor and an image of the postal letter is automatically captured by the camera, these two events happen in synchronization.
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CONTINUE…
The rectangular box containing the PIN code is searched using pattern matching algorithm, and upon successful detection the box is assigned as Region of Interest (ROI). The first numeric of the PIN code corresponding to the region is then read from the ROI and the best possible match is taken from the file containing the trained OCR character set.
The DAQ card is configured to read the matched numeric output of the OCR session which corresponds to a particular destination of the letter (i.e. North, East, West or South) and produces a subsequent control signal for the controller. The controller is programmed to align the appropriate bin in the line of the conveyor so that the letter finally drops into the bin.
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BLOCK DIAGRAM
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THIS PAPER APPEARS IN:
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Date of Conference: 18-21 Sept. 2011Author(s):Pal, U. Comput. Vision & Pattern, Indian Stat. Inst., Kolkata, India Roy, R.K. ; Kimura, F. Page(s): 483 - 487 Product Type: Conference Publications
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REFERENCES
U. Pal, K. Roy and F. Kimura, "A Lexicon Driven Handwritten City Name Recognition Scheme for Indian Postal Automation", IEICI Trans. Inf. and Systems, Vol.E92-D, pp. 1146-1158, 2009.
S. Vajda, K. Roy, U. Pal, B. B. Chaudhuri and A. Belaid, "Automation of Indian Postal Documents written in Bangla and English", Int. Journal of PRAI, Vol. 23, pp. 1599-1632, 2009.
R. Plamondon and S. N. Srihari, "On-Line and off-line handwritten recognition: A comprehensive survey", IEEE Trans on Pattern Analysis and Machine Intelligence, Vol.22, pp.62-84, 2000.
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