{"product_id":"efficient-and-intelligent-off-line-handwritten-recognition-systems-von-pradeep-jayabala","title":"Efficient and Intelligent Off-Line Handwritten Recognition Systems","description":"\u003cp\u003eThe major contributions of the thesis are listed below: ¿ Feed forward neural architecture is identified as the most suitable classifier for recognizing handwritten English characters. ¿ A new zonal feature extraction, called diagonal feature extraction is proposed. ¿ Hybridization of feature is investigated to enhance recognition accuracy. The best hybrid feature set is identified. ¿ Novel training strategy for neural classifier is proposed to improve the average and worst case recognition accuracies. ¿ A comprehensive CRS for Mixed handwritten English alphabets is built. ¿ A general algorithm for designing CRS is developed. ¿ A methodology to validate the performance of the designed CRS is evolved and illustrated. This thesis presents a systematic procedure for designing and developing a high accuracy character recognition system for handwritten English characters.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786200082602\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9786200082602","offer_id":39455033557085,"sku":"9786200082602","price":61.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/4f88e108-056b-4e75-bbf3-fd3be28a5d74.jpg?v=1758347041","url":"https:\/\/shop.autorenwelt.de\/en\/products\/efficient-and-intelligent-off-line-handwritten-recognition-systems-von-pradeep-jayabala","provider":"Autorenwelt Shop","version":"1.0","type":"link"}