Method of classifying Naive Bayes scanned certificate images based on feature weighting

• Main Authors: ZHU LIYUAN, ZHANG HAO, LONG JUN, LIU XIANRU
• Format: Patent
• Language: English
• Published: 01.07.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a method of classifying Naive Bayes scanned certificate images based on feature weighting. The method comprises the steps of carrying out round seal locating, dividing and sizing on certificate images processed, and extracting color feature vectors of an HSV (Hue, Saturation, Value) space of a round seal area and the length-width ratio of the images; building a certificate image database, processing each certificate image in the database according to the above steps, so as to obtain the round seal HSV color feature vector and the length-width ratio of each scanned certificate image in the data base, calculating the probability of different data combinations in the certificate image database according to the obtained feature vectors, and storing the data after the feature weighting; calculating an image category which is most possible to appear according to a Naive Bayes algorithm and the probability of different data combinations in the certificate image database, and judging the classification of the images when the probability meets a set threshold requirement. According to the method, the certificate images can be simply and quickly classified, and the certificate image retrieval efficiency can be improved.