Abstract

Handwriting Analysis or Graphology is a scientific method of identifying, evaluating and understanding personality through the strokes and patterns revealed by handwriting. Handwriting reveals the true personality including emotional outlay, fears, honesty, defenses and many others.

References

• Champa H N, K R AnandaKumar, “A Scientific Approach to Behavior Analysis through Handwriting Analysis”, National Conference on Research Trends in Information Technology, S R K R Engineering College, Bhimavaram, Andhra Pradesh, 2008
• N Mogharreban, S Rahimi, M Sabharwal, “A Combined Crisp and Fuzzy Approach for Handwriting Analysis”, IEEE Annual Meeting of the Fuzzy Information,2004, vol1, pp 351-356
• Sung-Hyuk and Charles C Tappert , “Automatic Detection of Handwriting Forgery”, Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002, vol1, pp.351-356
• K Toraichi, T Horiuchi, R Haruki, “Observation Method for Mathematical Graphology”, Proceedings of the Third International Conference on Document Analysis and Recognition, 1995, vol2, pp.656-659.
• Sung-Hyuk Cha, Sargur N Srihari, “Apriori Algorithm for Sub-category Classification Analysis of handwriting”, Proceedings of the Sixth International Conference on Document Analysis and Recognition, 2001, pp. 1022-1025.
• H.E.S.Said, T.N.Tan and K.D.Baker, “Writer Identification Based on Handwriting”, IEE Third European workshop on Handwriting Analysis and Recognition, vol.33, no.1, 2000, pp 133-148.
• Philip Jonathan Sutanto, Graham Leedham and Vladimir Pervouchine, “Study of the Consistency of some Discriminatory Features used by Document Examiners in the Analysis of Handwritten letter ‘a’ ”, Proceedings of the seventh International Conference on Document Analysis and Recognition, 2003.
• Saragur N Srihari and Zhixin Shi, “forensic Handwritten Document Retrieval System”, Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL’04), 2004.
• Ameur BENSEFIA, Ali NOSARY, Thierry PAQUET, Laurent HEUTTE,”Writer Identification by Writer’s Invariants”, Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition”, 2002, pp 274-279.
• Champa H N, K R AnandaKumar, “Handwriting Analysis for Writer’s Personality Prediction”, International Conference on Biometric Technologies and Applications- the Indian perspective, Under the aegis of BiometricsIndia Expo 2008, New Delhi, India, pp 182-191
• Champa H N, K R AnandaKumar, “ Rule Based Approach for Personality Prediction Through Handwriting Analysis”, 2nd International Conference on Biomedical Informatics and Signal processing, organized by Sai’s BioSciences Research Institute Pvt. Ltd., 2009
• Champa H N, K R AnandaKumar, “ Writer’s Personality Prediction through letter ‘y’ using Generalized Hough Transform(GHT) ”, 3rd International Conference on Information Processing, organized by the Society of Information Processing, Bangalore, Defence Institute of Advanced Technology and University Visveswaraya College of Engineering, Bangalore, 2009
• Srihari S.N., Sung-Hyuk Cha and Sangjik Lee, “Establishing handwriting Individuality using pattern recognition techniques”, Proceedings of the Sixth International Conference on Document Analysis and Recognition, 2001, pp. 1195 – 1204.
• Anlong Ming, et, al, “A Grid-based Face Recognition Approach Using General Template Matching”, Proceedings of the First International Conference on Semantics, Knowledge, and Grid ,IEEE 2006.
• Hui Tian and Hong Shen, “Hamming Distance and Hop Count Based Classification for Multicast Network Topology Inference”, Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA’05).
• Mohammad Ali Lotfollahi, et, al, "A New Method in Determining Random Wave-Induced Inline Force", World Applied Sciences Journal, Vol 3 (4), pp 674-683, 2008.