On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
An Experimental HMM-Based Postal OCR System
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Handwriting Recognition Using Local Methods for Normalization and Global Methods for Recognition
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A System towards Indian Postal Automation
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Recognition of Numeric Postal Codes from Multi-script Postal Address Blocks
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
SwiftPost: a vision-based fast postal envelope identification system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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In this paper, we present a system towards Indian postal automation based on the recognition of pin-code and city name of the postal document. In the proposed system, at first, non-text blocks (postal stamp, postal seal etc.) are detected and Destination Address Block (DAB) is identified from the document. Next, lines and words of the DAB are segmented. Since India is a multi-lingual and multi-script country, the address part may be written by combination of two scripts. To identify the script by which a word is written, we propose a water reservoir based technique. It is very difficult to identify the script by which the pin-code portion is written. So we have used two-stage artificial Neural Network (NN) based general classifiers for the recognition of pin-code digits written in English/Bangla. For recognition of city names we propose an NSHP-HMM (Non-Symmetric Half Plane- Hidden Markov Model) based technique.